Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
2663
Single Precision Score
1266
Half Precision Score
3374
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Zerofckerx |
| Upload Date | November 25 2025 05:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10600KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C80 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600KF |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1954
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
96% |
2956
552.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
685
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2310
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3220
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3391
3.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
8047
9.51 IPS |
|
|
Object Detection (SP)
|
100% |
2137
169.5 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
58% |
2101
229.5 IPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
5408
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1808
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7359
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10464
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8068
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
12869
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3526
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1495
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
446
597.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1879
32.4 IPS |
|
|
Machine Translation (HP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2059
39.8 IPS |
