Micro-Star International Co., Ltd. MS-7C71
Geekbench ML Score
2653
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Paul_Kim |
| Upload Date | October 18 2024 11:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C71 |
| Motherboard | Micro-Star International Co., Ltd. MEG Z490 UNIFY (MS-7C71) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 20.0 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% |
1514
283.4 IPS |
|
|
Image Classification (F16)
|
100% |
1474
275.9 IPS |
|
|
Image Classification (I8)
|
97% |
2728
510.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1179
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1137
19.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
1703
28.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5383
6.52 IPS |
|
|
Pose Estimation (F16)
|
100% |
5317
6.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
12947
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.4 IPS |
|
|
Object Detection (F16)
|
100% |
1358
101.4 IPS |
|
|
Object Detection (I8)
|
60% |
1338
99.9 IPS |
|
|
Face Detection (F32)
|
100% |
1991
23.7 IPS |
|
|
Face Detection (F16)
|
100% |
2011
23.9 IPS |
|
|
Face Detection (I8)
|
87% |
3444
41.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5524
42.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5588
43.3 IPS |
|
|
Depth Estimation (I8)
|
74% |
10153
78.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13089
17.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12561
16.5 IPS |
|
|
Style Transfer (I8)
|
85% |
15359
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2820
100.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2822
100.8 IPS |
|
|
Text Classification (F32)
|
100% |
1263
1.81 KIPS |
|
|
Text Classification (F16)
|
100% |
1347
1.94 KIPS |
|
|
Text Classification (I8)
|
94% |
345
495.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1395
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1397
25.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1856
34.2 IPS |
