Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
2862
Single Precision Score
1319
Half Precision Score
4099
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 03:39 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10700K |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2393
444.9 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.4 IPS |
|
|
Image Classification (Q)
|
96% |
4502
840.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
3384
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4334
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
3605
4.21 IPS |
|
|
Pose Estimation (Q)
|
86% |
9982
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
58% |
2536
277.1 IPS |
|
|
Face Detection (SP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
1276
15.2 IPS |
|
|
Face Detection (Q)
|
96% |
6738
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5720
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1866
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
9059
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10850
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8311
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14395
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1895
70.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1627
60.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3792
140.5 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
477
638.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1908
32.9 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
2185
42.2 IPS |
