Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG
Geekbench AI Score
3654
Single Precision Score
3634
Half Precision Score
8390
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | TechnoCat |
| Upload Date | June 26 2025 02:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Evo B2HMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3213
597.5 IPS |
|
|
Image Classification (HP)
|
100% |
3387
629.9 IPS |
|
|
Image Classification (Q)
|
100% |
7751
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1533
24.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3780
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6690
7.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
6228
7.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
18593
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (Q)
|
88% |
8136
652.2 IPS |
|
|
Face Detection (SP)
|
100% |
4078
48.5 IPS |
|
|
Face Detection (HP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
8802
104.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5267
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4570
35.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
8615
67.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17608
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18359
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
45831
59.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2318
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9172
339.7 IPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4269
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4741
81.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2869
49.4 IPS |
