Micro-Star International Co., Ltd. MS-7E06
Geekbench ML Score
2470
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 03 2024 05:26 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E06 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z790-P WIFI (MS-7E06) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 950 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1046
195.8 IPS |
|
|
Image Classification (F16)
|
100% |
1077
201.5 IPS |
|
|
Image Classification (I8)
|
100% |
868
162.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1456
24.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1454
24.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1199
20.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9902
12.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
9771
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8710
10.5 IPS |
|
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
1122
83.8 IPS |
|
|
Object Detection (I8)
|
60% |
942
70.3 IPS |
|
|
Face Detection (F32)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (F16)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (I8)
|
89% |
1834
21.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5374
41.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
5386
41.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
4413
34.2 IPS |
|
|
Style Transfer (F32)
|
100% |
16906
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
16905
22.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14416
19.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4529
161.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4526
161.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3127
111.7 IPS |
|
|
Text Classification (F32)
|
100% |
1115
1.60 KIPS |
|
|
Text Classification (F16)
|
100% |
1072
1.54 KIPS |
|
|
Text Classification (I8)
|
98% |
572
822.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1271
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (I8)
|
70% |
651
12.0 IPS |
