Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
4225
Single Precision Score
4635
Half Precision Score
3079
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 06:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-14N1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
2084
387.5 IPS |
|
|
Image Classification (Q)
|
100% |
1817
337.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2776
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2252
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14814
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17813
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11443
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2307
183.0 IPS |
|
|
Object Detection (HP)
|
98% |
2245
178.7 IPS |
|
|
Object Detection (Q)
|
86% |
1890
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
4000
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
5446
64.7 IPS |
|
|
Face Detection (Q)
|
97% |
3166
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8717
67.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10076
77.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
6974
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36706
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
47701
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
27068
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.4 IPS |
|
|
Text Classification (SP)
|
86% |
746
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
556
742.3 IPS |
|
|
Text Classification (Q)
|
84% |
531
720.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (Q)
|
70% |
800
15.0 IPS |
