Micro-Star International Co., Ltd. MS-7C79
Geekbench AI Score
2518
Single Precision Score
1109
Half Precision Score
4251
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 06 2025 06:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C79 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z490 GAMING EDGE WIFI (MS-7C79) |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900KF |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
418
77.8 IPS |
|
|
Image Classification (Q)
|
96% |
3732
697.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
4290
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3948
4.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
3276
3.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
9438
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
531
42.1 IPS |
|
|
Object Detection (Q)
|
58% |
2602
284.3 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
1024
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6374
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5518
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1412
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
8359
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9926
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7704
9.90 IPS |
|
|
Style Transfer (Q)
|
87% |
11541
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3629
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
1434
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.8 IPS |
|
|
Text Classification (Q)
|
97% |
1129
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1464
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
535
9.21 IPS |
|
|
Machine Translation (Q)
|
68% |
1949
37.7 IPS |
