Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1671
Single Precision Score
473
Half Precision Score
2586
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | September 04 2024 11:33 PM |
| Views | 2 |
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% |
1020
189.7 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.5 IPS |
|
|
Image Classification (Q)
|
99% |
2534
472.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1530
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2189
2.55 IPS |
|
|
Pose Estimation (Q)
|
95% |
10730
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
1153
92.4 IPS |
|
|
Face Detection (SP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
201
2.39 IPS |
|
|
Face Detection (Q)
|
97% |
2978
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
588
4.53 IPS |
|
|
Depth Estimation (Q)
|
76% |
5572
44.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6466
8.31 IPS |
|
|
Style Transfer (HP)
|
100% |
5227
6.72 IPS |
|
|
Style Transfer (Q)
|
98% |
13312
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1040
38.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2427
89.9 IPS |
|
|
Text Classification (SP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (Q)
|
97% |
366
490.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.74 IPS |
|
|
Machine Translation (Q)
|
60% |
1425
31.8 IPS |
