Micro-Star International Co., Ltd. Prestige 16 AI+ Evo B2VMG
Geekbench AI Score
8701
Single Precision Score
16549
Half Precision Score
5784
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 29 2025 03:22 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
4565
848.9 IPS |
|
|
Image Classification (HP)
|
100% |
6238
1.16 KIPS |
|
|
Image Classification (Q)
|
100% |
3369
626.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7463
121.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14921
241.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5374
87.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21989
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
99711
116.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18196
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
5304
420.7 IPS |
|
|
Object Detection (HP)
|
100% |
9047
717.6 IPS |
|
|
Object Detection (Q)
|
88% |
4463
358.0 IPS |
|
|
Face Detection (SP)
|
100% |
10669
126.8 IPS |
|
|
Face Detection (HP)
|
100% |
19862
236.0 IPS |
|
|
Face Detection (Q)
|
97% |
7670
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21685
167.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42892
330.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13716
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
55236
71.0 IPS |
|
|
Style Transfer (HP)
|
100% |
197816
254.3 IPS |
|
|
Style Transfer (Q)
|
98% |
40089
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9910
365.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18900
697.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5623
208.2 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1616
2.16 KIPS |
|
|
Text Classification (Q)
|
97% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1390
26.1 IPS |
