Micro-Star International Co., Ltd. MS-7C80
Geekbench AI Score
3073
Single Precision Score
1446
Half Precision Score
7254
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | January 01 2026 07:16 PM |
| Views | 4 |
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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.4 IPS |
|
|
Image Classification (Q)
|
99% |
6933
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7901
128.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4698
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3831
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
17002
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2246
178.2 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
86% |
6382
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
8446
100.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6039
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14908
119.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11264
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9310
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20112
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6019
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
1814
2.42 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2769
55.6 IPS |
