Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1744
Single Precision Score
483
Half Precision Score
2639
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 12 2024 09:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
917
170.4 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.7 IPS |
|
|
Image Classification (Q)
|
99% |
2471
460.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
98% |
1512
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2669
3.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2303
2.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
10619
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
1233
98.9 IPS |
|
|
Face Detection (SP)
|
100% |
2048
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.45 IPS |
|
|
Face Detection (Q)
|
97% |
2980
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3412
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
76% |
5657
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6083
7.82 IPS |
|
|
Style Transfer (HP)
|
100% |
5552
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
13282
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1312
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2589
95.9 IPS |
|
|
Text Classification (SP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
478
637.6 IPS |
|
|
Text Classification (Q)
|
97% |
395
528.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
389
6.70 IPS |
|
|
Machine Translation (Q)
|
60% |
1464
32.7 IPS |
