Micro-Star International Co., Ltd. Stealth GS66 12UGS
Geekbench AI Score
3350
Single Precision Score
1254
Half Precision Score
5464
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | a0545 |
| Upload Date | March 29 2025 05:46 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-12700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth GS66 12UGS |
| Motherboard | Micro-Star International Co., Ltd. MS-16V5 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2812
523.0 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
99% |
4961
925.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2809
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3698
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
17126
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2400
190.3 IPS |
|
|
Object Detection (HP)
|
100% |
573
45.5 IPS |
|
|
Object Detection (Q)
|
86% |
5004
402.2 IPS |
|
|
Face Detection (SP)
|
100% |
6632
78.8 IPS |
|
|
Face Detection (HP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
7778
92.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6762
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1790
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
12037
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13143
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8891
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19023
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2229
82.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3180
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
615
821.3 IPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1712
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2554
51.3 IPS |
