Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2733
Single Precision Score
1083
Half Precision Score
5762
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 09:22 PM |
| Views | 12 |
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% |
2402
446.8 IPS |
|
|
Image Classification (HP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (Q)
|
99% |
5641
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6521
106.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3569
4.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
2784
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
13390
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
86% |
5265
423.2 IPS |
|
|
Face Detection (SP)
|
100% |
4968
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
7355
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4932
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1498
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11078
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8629
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6521
8.38 IPS |
|
|
Style Transfer (Q)
|
98% |
15987
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1646
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4458
165.1 IPS |
|
|
Text Classification (SP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.5 IPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2379
47.8 IPS |
