Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
9890
Single Precision Score
13728
Half Precision Score
13526
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 06 2025 12:33 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A3 |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 288V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4216
784.1 IPS |
|
|
Image Classification (HP)
|
100% |
5434
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
5412
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7904
128.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9190
149.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9333
151.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
69823
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
164565
192.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
217784
255.0 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (HP)
|
100% |
6192
491.2 IPS |
|
|
Object Detection (Q)
|
88% |
5499
440.7 IPS |
|
|
Face Detection (SP)
|
100% |
13290
157.9 IPS |
|
|
Face Detection (HP)
|
100% |
18209
216.4 IPS |
|
|
Face Detection (Q)
|
100% |
14112
167.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22175
170.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
40590
312.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
41010
318.8 IPS |
|
|
Style Transfer (SP)
|
100% |
167029
214.7 IPS |
|
|
Style Transfer (HP)
|
100% |
228143
293.3 IPS |
|
|
Style Transfer (Q)
|
98% |
267866
345.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14538
536.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18775
693.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18660
691.1 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1344
23.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1366
23.5 IPS |
