Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
2565
Single Precision Score
1266
Half Precision Score
6025
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 07:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-11900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C80 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z490 TOMAHAWK (MS-7C80) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.2 IPS |
|
|
Image Classification (Q)
|
99% |
3381
630.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (Q)
|
98% |
4812
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4187
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3576
4.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
16923
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2083
165.3 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
5660
454.9 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1298
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8015
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1898
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
13670
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10494
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8725
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17952
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1912
70.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1704
62.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5550
205.5 IPS |
|
|
Text Classification (SP)
|
100% |
1730
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
863
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1545
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2401
48.2 IPS |
