Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
6842
Single Precision Score
11961
Half Precision Score
17695
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | mukuldev04 |
| Upload Date | August 19 2025 05:53 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
4660
866.5 IPS |
|
|
Image Classification (HP)
|
100% |
7708
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
9117
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4440
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11070
179.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15352
248.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17160
20.0 IPS |
|
|
Pose Estimation (HP)
|
99% |
18438
21.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
53568
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
8361
663.2 IPS |
|
|
Object Detection (Q)
|
88% |
13181
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (HP)
|
100% |
17511
208.1 IPS |
|
|
Face Detection (Q)
|
100% |
29239
347.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16473
126.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
30249
233.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
36196
281.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43077
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
61494
79.1 IPS |
|
|
Style Transfer (Q)
|
98% |
124353
160.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7422
274.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13091
483.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19091
707.0 IPS |
|
|
Text Classification (SP)
|
71% |
1156
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
2394
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2727
3.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4464
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4446
76.8 IPS |
