Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
4667
Single Precision Score
4734
Half Precision Score
12808
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 07:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i9-11900K @ 3.50GHz |
| 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% |
2879
535.4 IPS |
|
|
Image Classification (HP)
|
100% |
2962
550.8 IPS |
|
|
Image Classification (Q)
|
100% |
9023
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3329
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3413
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8596
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5692
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
5939
6.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
23106
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
88% |
8657
693.9 IPS |
|
|
Face Detection (SP)
|
100% |
5936
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
5922
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
21225
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7727
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7745
59.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22135
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15150
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14939
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61785
79.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3442
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3568
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12357
457.6 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3164
4.22 KIPS |
|
|
Text Classification (Q)
|
92% |
4870
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4373
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4461
76.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4386
75.6 IPS |
