Micro-Star International Co., Ltd. Prestige 14 AI+ Evo C2VMG
Geekbench AI Score
2860
Single Precision Score
1321
Half Precision Score
5781
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 06 2025 05:43 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI+ Evo C2VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-14N3 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
99% |
4737
883.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
904
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6603
107.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4151
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
15661
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
1970
156.3 IPS |
|
|
Object Detection (HP)
|
100% |
634
50.3 IPS |
|
|
Object Detection (Q)
|
86% |
4725
379.7 IPS |
|
|
Face Detection (SP)
|
100% |
5528
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7806
93.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5599
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1940
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10767
85.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10803
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8387
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18627
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3744
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
1308
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.2 IPS |
|
|
Text Classification (Q)
|
97% |
1274
1.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
1834
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2414
48.5 IPS |
