Micro-Star International Co., Ltd. Katana GF66 11UC
Geekbench AI Score
2049
Single Precision Score
2112
Half Precision Score
5326
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 08:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-11400H @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 11UC |
| Motherboard | Micro-Star International Co., Ltd. MS-1582 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1253
233.1 IPS |
|
|
Image Classification (HP)
|
100% |
1303
242.3 IPS |
|
|
Image Classification (Q)
|
100% |
3271
608.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
10023
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
100% |
1205
95.6 IPS |
|
|
Object Detection (Q)
|
88% |
3308
265.1 IPS |
|
|
Face Detection (SP)
|
100% |
2793
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (Q)
|
100% |
8659
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3034
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3337
25.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
9389
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6854
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
7272
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
26907
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1455
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5038
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (Q)
|
92% |
2701
3.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1864
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1657
28.5 IPS |
