Micro-Star International Co., Ltd. MS-7A95
Geekbench ML Score
12921
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A95 |
| Motherboard | Micro-Star International Co., Ltd X299 GAMING PRO CARBON (MS-7A95) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 11.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5811
1.09 KIPS |
|
|
Image Classification (F16)
|
100% |
6769
1.27 KIPS |
|
|
Image Classification (I8)
|
100% |
4404
824.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
7380
123.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
7274
121.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
6217
103.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
116812
141.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
113346
137.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
92456
112.0 IPS |
|
|
Object Detection (F32)
|
100% |
4118
307.4 IPS |
|
|
Object Detection (F16)
|
100% |
4133
308.5 IPS |
|
|
Object Detection (I8)
|
56% |
3512
262.2 IPS |
|
|
Face Detection (F32)
|
100% |
17037
202.6 IPS |
|
|
Face Detection (F16)
|
100% |
17455
207.5 IPS |
|
|
Face Detection (I8)
|
89% |
12958
154.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
46223
358.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
45459
352.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
28842
223.7 IPS |
|
|
Style Transfer (F32)
|
100% |
205109
269.8 IPS |
|
|
Style Transfer (F16)
|
100% |
203760
268.0 IPS |
|
|
Style Transfer (I8)
|
98% |
151484
199.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28702
1.03 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
27884
995.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
16912
604.0 IPS |
|
|
Text Classification (F32)
|
100% |
2211
3.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1822
2.62 KIPS |
|
|
Text Classification (I8)
|
98% |
1108
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
2191
40.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2241
41.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1178
21.7 IPS |
