Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3212
Single Precision Score
3289
Half Precision Score
8430
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | January 31 2026 12:48 PM |
| Views | 5 |
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% |
2017
375.0 IPS |
|
|
Image Classification (HP)
|
100% |
2054
382.1 IPS |
|
|
Image Classification (Q)
|
100% |
5971
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2696
43.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2855
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6894
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3426
4.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
3400
3.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
12832
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1804
143.1 IPS |
|
|
Object Detection (HP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (Q)
|
88% |
5788
464.0 IPS |
|
|
Face Detection (SP)
|
100% |
5252
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
5357
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
14526
172.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4587
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5050
38.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14328
111.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9700
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10014
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
38444
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7769
287.7 IPS |
|
|
Text Classification (SP)
|
100% |
2077
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1942
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3056
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3293
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3147
54.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3124
53.8 IPS |
