Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
3694
Single Precision Score
3791
Half Precision Score
9567
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ande1109 |
| Upload Date | March 07 2026 09:30 PM |
| Views | 11 |
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% |
2369
440.5 IPS |
|
|
Image Classification (HP)
|
100% |
2401
446.6 IPS |
|
|
Image Classification (Q)
|
100% |
6554
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3167
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7321
118.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4270
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
16152
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2204
174.8 IPS |
|
|
Object Detection (HP)
|
100% |
2184
173.2 IPS |
|
|
Object Detection (Q)
|
88% |
6586
527.9 IPS |
|
|
Face Detection (SP)
|
100% |
5497
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
5643
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
16375
194.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5601
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5746
44.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
16396
127.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12024
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
12367
15.9 IPS |
|
|
Style Transfer (Q)
|
98% |
44033
56.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2813
103.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8698
322.1 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
3574
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3546
61.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3426
59.0 IPS |
