Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1549
Single Precision Score
1589
Half Precision Score
1050
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 11:51 AM |
| 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.7 IPS |
|
|
Image Classification (Q)
|
100% |
565
105.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
938
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1052
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
716
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5157
6.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
3207
3.76 IPS |
|
|
Object Detection (SP)
|
100% |
744
59.0 IPS |
|
|
Object Detection (HP)
|
98% |
626
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
623
50.1 IPS |
|
|
Face Detection (SP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1631
19.4 IPS |
|
|
Face Detection (Q)
|
97% |
1117
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2785
21.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3067
23.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
2073
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9722
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13136
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
7265
9.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
855
31.6 IPS |
|
|
Text Classification (SP)
|
100% |
785
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
446
595.8 IPS |
|
|
Text Classification (Q)
|
97% |
397
531.5 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
354
6.65 IPS |
