Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2357
Single Precision Score
1032
Half Precision Score
5181
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 12:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| 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% |
1509
280.6 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.9 IPS |
|
|
Image Classification (Q)
|
99% |
4494
838.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (Q)
|
98% |
4896
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2776
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
94% |
11905
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
86% |
4210
338.3 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
5969
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5080
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1515
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
10833
86.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9816
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7450
9.58 IPS |
|
|
Style Transfer (Q)
|
98% |
16073
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1785
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1483
54.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4154
153.8 IPS |
|
|
Text Classification (SP)
|
100% |
1516
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
715
954.7 IPS |
|
|
Text Classification (Q)
|
97% |
1194
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
601
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2456
49.3 IPS |
