Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3779
Single Precision Score
3874
Half Precision Score
10135
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 09:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz |
| 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% |
2311
429.8 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.6 IPS |
|
|
Image Classification (Q)
|
100% |
6526
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3108
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3070
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7032
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4172
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4227
4.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
17443
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (HP)
|
100% |
2288
181.5 IPS |
|
|
Object Detection (Q)
|
88% |
7631
611.8 IPS |
|
|
Face Detection (SP)
|
100% |
5552
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
6115
72.7 IPS |
|
|
Face Detection (Q)
|
100% |
17327
205.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5811
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5875
45.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
17363
135.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11469
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12292
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
45123
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2674
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2729
100.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9555
353.8 IPS |
|
|
Text Classification (SP)
|
100% |
2549
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2403
3.21 KIPS |
|
|
Text Classification (Q)
|
92% |
3839
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3762
64.8 IPS |
