Micro-Star International Co., Ltd. Stealth GS77 12UHS
Geekbench AI Score
3226
Single Precision Score
3230
Half Precision Score
2032
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 10:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth GS77 12UHS |
| Motherboard | Micro-Star International Co., Ltd. MS-17P1 |
| Power Plan | QuickCpuScheme |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1425
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
1487
276.5 IPS |
|
|
Image Classification (Q)
|
100% |
1235
229.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2569
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1614
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12798
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
12821
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
6300
7.38 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
98% |
1479
117.7 IPS |
|
|
Object Detection (Q)
|
86% |
1408
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
3347
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (Q)
|
97% |
2378
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6553
50.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
7343
56.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4563
36.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27314
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
34161
43.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16907
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4695
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1563
57.9 IPS |
|
|
Text Classification (SP)
|
100% |
724
966.1 IPS |
|
|
Text Classification (HP)
|
100% |
354
472.9 IPS |
|
|
Text Classification (Q)
|
97% |
451
603.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (Q)
|
70% |
527
9.89 IPS |
