Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3415
Single Precision Score
3384
Half Precision Score
8632
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:52 PM |
| Views | 2 |
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% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.6 IPS |
|
|
Image Classification (Q)
|
100% |
5753
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2645
42.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2611
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5514
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3930
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3968
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
16197
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2099
166.5 IPS |
|
|
Object Detection (HP)
|
100% |
2035
161.4 IPS |
|
|
Object Detection (Q)
|
88% |
6118
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
5273
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (Q)
|
100% |
14180
168.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5147
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5103
39.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15066
117.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11276
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11254
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
40357
52.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2413
89.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2527
93.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8560
317.0 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (Q)
|
92% |
3571
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2800
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2773
47.8 IPS |
