Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1108
Single Precision Score
1181
Half Precision Score
796
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
480
89.2 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
388
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
716
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2944
3.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
2076
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
98% |
467
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
437
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
1101
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1245
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
859
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1925
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
2145
16.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1475
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5915
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
9185
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
5291
6.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1753
64.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
704
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.7 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.2 IPS |
|
|
Text Classification (Q)
|
97% |
380
509.5 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
70% |
314
5.89 IPS |
