Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1326
Single Precision Score
1401
Half Precision Score
933
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
613
114.1 IPS |
|
|
Image Classification (HP)
|
100% |
657
122.2 IPS |
|
|
Image Classification (Q)
|
100% |
544
101.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
642
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3797
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
4231
4.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2784
3.26 IPS |
|
|
Object Detection (SP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (HP)
|
98% |
566
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
539
43.4 IPS |
|
|
Face Detection (SP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1019
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
2595
20.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
1769
14.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7526
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
10296
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
5648
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1320
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
745
27.6 IPS |
|
|
Text Classification (SP)
|
100% |
740
987.7 IPS |
|
|
Text Classification (HP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.2 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
590
10.2 IPS |
|
|
Machine Translation (Q)
|
70% |
321
6.03 IPS |
