Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2283
Single Precision Score
3243
Half Precision Score
5025
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 09 2025 06:07 AM |
| Views | 2 |
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% |
1358
252.5 IPS |
|
|
Image Classification (HP)
|
100% |
2237
416.0 IPS |
|
|
Image Classification (Q)
|
99% |
3440
641.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3945
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3825
4.46 IPS |
|
|
Pose Estimation (HP)
|
99% |
2801
3.27 IPS |
|
|
Pose Estimation (Q)
|
97% |
11571
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.4 IPS |
|
|
Object Detection (HP)
|
98% |
1978
157.4 IPS |
|
|
Object Detection (Q)
|
90% |
3527
282.0 IPS |
|
|
Face Detection (SP)
|
100% |
4248
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
6795
80.7 IPS |
|
|
Face Detection (Q)
|
100% |
8880
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
7483
57.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10115
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9923
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15586
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
26463
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1798
66.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2913
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5912
218.9 IPS |
|
|
Text Classification (SP)
|
71% |
951
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1144
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
883
15.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1173
20.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1175
20.2 IPS |
