Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2242
Single Precision Score
3165
Half Precision Score
4868
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 10 2025 06:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1306
242.8 IPS |
|
|
Image Classification (HP)
|
100% |
2152
400.3 IPS |
|
|
Image Classification (Q)
|
99% |
3302
615.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3855
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3856
4.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
2843
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
11618
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (HP)
|
98% |
1894
150.7 IPS |
|
|
Object Detection (Q)
|
90% |
3388
270.9 IPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
6559
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
8800
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4386
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
7294
56.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9920
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9983
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15855
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26545
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1788
66.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5377
199.1 IPS |
|
|
Text Classification (SP)
|
71% |
906
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1097
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1074
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1120
19.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1116
19.2 IPS |
