Micro-Star International Co., Ltd. Katana GF76 11UC
Geekbench AI Score
1693
Single Precision Score
2504
Half Precision Score
3965
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:42 PM |
| Views | 2 |
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 | 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% |
1054
196.0 IPS |
|
|
Image Classification (HP)
|
100% |
1612
299.8 IPS |
|
|
Image Classification (Q)
|
99% |
2658
495.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2797
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3398
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
99% |
2238
2.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
7619
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.4 IPS |
|
|
Object Detection (HP)
|
98% |
1508
120.0 IPS |
|
|
Object Detection (Q)
|
90% |
2771
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
5545
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
7599
90.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3237
24.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5517
42.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
8108
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6685
8.59 IPS |
|
|
Style Transfer (HP)
|
100% |
11255
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19601
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1278
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2169
80.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4468
165.5 IPS |
|
|
Text Classification (SP)
|
71% |
718
1.04 KIPS |
|
|
Text Classification (HP)
|
71% |
891
1.29 KIPS |
|
|
Text Classification (Q)
|
92% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.1 IPS |
|
|
Machine Translation (HP)
|
98% |
960
16.6 IPS |
|
|
Machine Translation (Q)
|
100% |
983
16.9 IPS |
