Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1388
Single Precision Score
1456
Half Precision Score
970
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 09:47 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% |
611
113.7 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.5 IPS |
|
|
Image Classification (Q)
|
100% |
509
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
928
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
635
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4267
4.98 IPS |
|
|
Pose Estimation (Q)
|
96% |
2773
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (HP)
|
98% |
583
46.4 IPS |
|
|
Object Detection (Q)
|
86% |
553
44.5 IPS |
|
|
Face Detection (SP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
1042
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2534
19.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2709
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
1897
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8577
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11332
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
6575
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2153
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
839
31.1 IPS |
|
|
Text Classification (SP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
467
623.7 IPS |
|
|
Text Classification (Q)
|
97% |
402
538.8 IPS |
|
|
Machine Translation (SP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
70% |
341
6.40 IPS |
