Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2231
Single Precision Score
3155
Half Precision Score
4844
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 02:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1349
250.9 IPS |
|
|
Image Classification (HP)
|
100% |
2232
415.0 IPS |
|
|
Image Classification (Q)
|
99% |
3190
595.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2081
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3336
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3896
63.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (HP)
|
99% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
97% |
11321
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
98% |
1915
152.4 IPS |
|
|
Object Detection (Q)
|
90% |
3429
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
4152
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (Q)
|
100% |
8696
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4449
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7426
57.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9727
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9947
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15358
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26595
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2823
104.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5739
212.5 IPS |
|
|
Text Classification (SP)
|
71% |
904
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
1054
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1096
18.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1075
18.5 IPS |
