Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
2159
Single Precision Score
1038
Half Precision Score
4031
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | FoxRunTime |
| Upload Date | February 05 2026 06:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| 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% |
1575
293.0 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.1 IPS |
|
|
Image Classification (Q)
|
99% |
3536
659.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
701
11.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5120
83.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2681
3.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
12892
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (Q)
|
86% |
3433
275.9 IPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
5897
70.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
2464
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7764
9.98 IPS |
|
|
Style Transfer (HP)
|
100% |
5855
7.53 IPS |
|
|
Style Transfer (Q)
|
98% |
13639
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3212
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
997
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.6 IPS |
|
|
Text Classification (Q)
|
97% |
1056
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1254
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
65% |
2106
42.3 IPS |
