Micro-Star International Co., Ltd. MS-7A95
Geekbench ML Score
2596
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 07:19 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1607
300.7 IPS |
|
|
Image Classification (F16)
|
100% |
1546
289.3 IPS |
|
|
Image Classification (I8)
|
97% |
2066
386.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
757
12.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1574
26.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7605
9.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
6822
8.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
14135
17.1 IPS |
|
|
Object Detection (F32)
|
100% |
1594
119.0 IPS |
|
|
Object Detection (F16)
|
100% |
1531
114.3 IPS |
|
|
Object Detection (I8)
|
60% |
1071
80.0 IPS |
|
|
Face Detection (F32)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (F16)
|
100% |
2142
25.5 IPS |
|
|
Face Detection (I8)
|
87% |
3098
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
7269
56.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6909
53.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
9038
70.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15354
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12756
16.8 IPS |
|
|
Style Transfer (I8)
|
85% |
15182
20.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2719
97.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2377
84.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2190
78.2 IPS |
|
|
Text Classification (F32)
|
100% |
1164
1.67 KIPS |
|
|
Text Classification (F16)
|
100% |
1182
1.70 KIPS |
|
|
Text Classification (I8)
|
94% |
305
438.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1278
23.5 IPS |
|
|
Machine Translation (I8)
|
67% |
1475
27.1 IPS |
