Micro-Star International Co., Ltd. MS-7B48
Geekbench ML Score
2674
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 08 2024 12:50 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B48 |
| Motherboard | Micro-Star International Co., Ltd. Z370-A PRO (MS-7B48) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
1613
301.8 IPS |
|
|
Image Classification (F16)
|
100% |
1588
297.1 IPS |
|
|
Image Classification (I8)
|
97% |
2221
415.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1349
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1317
22.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1491
24.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5163
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
5168
6.26 IPS |
|
|
Pose Estimation (I8)
|
100% |
8354
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
1448
108.1 IPS |
|
|
Object Detection (I8)
|
60% |
1343
100.2 IPS |
|
|
Face Detection (F32)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (F16)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (I8)
|
87% |
3459
41.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5483
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5517
42.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
7809
60.6 IPS |
|
|
Style Transfer (F32)
|
100% |
11967
15.7 IPS |
|
|
Style Transfer (F16)
|
100% |
12020
15.8 IPS |
|
|
Style Transfer (I8)
|
85% |
13605
17.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2334
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2359
84.2 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2700
96.4 IPS |
|
|
Text Classification (F32)
|
100% |
1312
1.89 KIPS |
|
|
Text Classification (F16)
|
100% |
1317
1.89 KIPS |
|
|
Text Classification (I8)
|
94% |
366
525.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1890
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1899
35.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1951
35.9 IPS |
