Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
2287
Single Precision Score
3280
Half Precision Score
5070
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 21 2025 05:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF76 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-17L2 |
| Power Plan | Ultimative Leistung |
| 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% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
2285
425.0 IPS |
|
|
Image Classification (Q)
|
99% |
3570
665.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3840
4.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
2836
3.31 IPS |
|
|
Pose Estimation (Q)
|
97% |
11617
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
98% |
2069
164.6 IPS |
|
|
Object Detection (Q)
|
90% |
3657
292.4 IPS |
|
|
Face Detection (SP)
|
100% |
4058
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
6797
80.8 IPS |
|
|
Face Detection (Q)
|
100% |
8694
103.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4428
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
7544
58.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
9976
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10129
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14842
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25977
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5798
214.7 IPS |
|
|
Text Classification (SP)
|
71% |
891
1.29 KIPS |
|
|
Text Classification (HP)
|
71% |
1101
1.59 KIPS |
|
|
Text Classification (Q)
|
92% |
1069
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (HP)
|
98% |
1270
21.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1287
22.2 IPS |
