Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2322
Single Precision Score
3305
Half Precision Score
5167
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 03 2025 06:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
2369
440.5 IPS |
|
|
Image Classification (Q)
|
99% |
3613
673.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2178
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3547
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4120
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
99% |
2757
3.22 IPS |
|
|
Pose Estimation (Q)
|
97% |
11342
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
98% |
1943
154.6 IPS |
|
|
Object Detection (Q)
|
90% |
3784
302.5 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
6918
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
8998
106.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4484
34.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7497
57.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
9960
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9931
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15793
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27040
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1776
65.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5934
219.8 IPS |
|
|
Text Classification (SP)
|
71% |
963
1.39 KIPS |
|
|
Text Classification (HP)
|
71% |
1149
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
1173
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
937
16.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1256
21.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1260
21.7 IPS |
