Micro-Star International Co., Ltd. Katana GF66 12UC
Geekbench AI Score
2288
Single Precision Score
1049
Half Precision Score
2861
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | November 10 2024 10:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-12500H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. Katana GF66 12UC |
| Motherboard | Micro-Star International Co., Ltd. MS-1584 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12500H |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1451
269.8 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.7 IPS |
|
|
Image Classification (Q)
|
99% |
2326
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2053
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4238
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
13096
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
88% |
1396
111.9 IPS |
|
|
Face Detection (SP)
|
100% |
2116
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
2937
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4677
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1492
11.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5568
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9681
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7497
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13713
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3134
116.1 IPS |
|
|
Text Classification (SP)
|
100% |
1364
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
541
721.9 IPS |
|
|
Text Classification (Q)
|
97% |
433
580.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
60% |
1386
30.9 IPS |
