Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2133
Single Precision Score
3091
Half Precision Score
4837
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 25 2025 08:27 AM |
| 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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
2280
424.0 IPS |
|
|
Image Classification (Q)
|
99% |
3415
636.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3369
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4015
65.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3419
3.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
2675
3.12 IPS |
|
|
Pose Estimation (Q)
|
97% |
10048
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
98% |
1887
150.2 IPS |
|
|
Object Detection (Q)
|
90% |
3520
281.4 IPS |
|
|
Face Detection (SP)
|
100% |
4077
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
6694
79.5 IPS |
|
|
Face Detection (Q)
|
100% |
9269
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3992
30.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6881
53.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
9313
72.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8636
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14091
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
24644
31.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2689
99.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5558
205.8 IPS |
|
|
Text Classification (SP)
|
71% |
893
1.29 KIPS |
|
|
Text Classification (HP)
|
71% |
1047
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1091
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1124
19.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1121
19.3 IPS |
