Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3150
Single Precision Score
3175
Half Precision Score
8570
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | November 25 2025 03:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.1 IPS |
|
|
Image Classification (Q)
|
100% |
6376
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2662
43.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2669
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6329
102.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3503
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3478
4.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
14161
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
1778
141.1 IPS |
|
|
Object Detection (Q)
|
88% |
6085
487.8 IPS |
|
|
Face Detection (SP)
|
100% |
4944
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
4762
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
13796
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4785
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4846
37.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
14098
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9516
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10137
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
39042
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2126
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2177
80.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7605
281.6 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1931
2.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3622
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2927
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2958
50.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2941
50.7 IPS |
