Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2003
Single Precision Score
2876
Half Precision Score
4668
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 04 2024 11:41 PM |
| Views | 2 |
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% |
1225
227.8 IPS |
|
|
Image Classification (HP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (Q)
|
99% |
3079
574.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3684
59.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3191
3.72 IPS |
|
|
Pose Estimation (HP)
|
99% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
9944
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.7 IPS |
|
|
Object Detection (HP)
|
98% |
1740
138.5 IPS |
|
|
Object Detection (Q)
|
90% |
3255
260.3 IPS |
|
|
Face Detection (SP)
|
100% |
3826
45.5 IPS |
|
|
Face Detection (HP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
8179
97.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3929
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6493
50.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
9494
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8480
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12928
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23752
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2617
96.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5388
199.5 IPS |
|
|
Text Classification (SP)
|
71% |
807
1.17 KIPS |
|
|
Text Classification (HP)
|
71% |
1026
1.48 KIPS |
|
|
Text Classification (Q)
|
92% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
89% |
1367
23.8 IPS |
