Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3175
Single Precision Score
3216
Half Precision Score
8170
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 04 2024 11:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
1856
345.1 IPS |
|
|
Image Classification (HP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (Q)
|
100% |
5118
951.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4595
74.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3803
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
3821
4.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
13671
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
1758
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
1900
150.7 IPS |
|
|
Object Detection (Q)
|
88% |
5451
437.0 IPS |
|
|
Face Detection (SP)
|
100% |
5018
59.6 IPS |
|
|
Face Detection (HP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
13678
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5044
38.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
5008
38.6 IPS |
|
|
Depth Estimation (Q)
|
80% |
14282
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10493
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10919
14.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36309
46.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2324
85.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7608
281.7 IPS |
|
|
Text Classification (SP)
|
100% |
2352
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (Q)
|
92% |
3431
4.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2687
46.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (Q)
|
85% |
4086
71.5 IPS |
