Micro-Star International Co., Ltd. MS-7C75
Geekbench AI Score
1964
Single Precision Score
858
Half Precision Score
2822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 04:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C75 |
| Motherboard | Micro-Star International Co., Ltd. Z490-A PRO (MS-7C75) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1493
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
96% |
2360
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1348
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3387
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2936
3.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
8330
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
58% |
1631
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.38 IPS |
|
|
Face Detection (Q)
|
96% |
5127
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4879
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1329
10.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6675
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9381
12.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6031
7.75 IPS |
|
|
Style Transfer (Q)
|
87% |
9375
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1277
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1441
53.4 IPS |
|
|
Text Classification (SP)
|
100% |
819
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.2 IPS |
|
|
Text Classification (Q)
|
97% |
938
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1147
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.83 IPS |
|
|
Machine Translation (Q)
|
68% |
1709
33.0 IPS |
