Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
1467
Single Precision Score
1453
Half Precision Score
964
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | darkernix |
| Upload Date | November 08 2025 12:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core Ultra 5 135H |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG |
| Motherboard | Micro-Star International Co., Ltd. MS-14N1 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 135H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 4.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.09 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
900
167.3 IPS |
|
|
Image Classification (Q)
|
99% |
665
123.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
726
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1919
2.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1918
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2066
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
1117
88.6 IPS |
|
|
Object Detection (HP)
|
100% |
1168
92.6 IPS |
|
|
Object Detection (Q)
|
85% |
661
53.2 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2018
24.0 IPS |
|
|
Face Detection (Q)
|
97% |
1509
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1813
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1756
13.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
1254
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2560
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
2675
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
4006
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1283
47.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1332
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1013
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
731
975.1 IPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
92% |
358
481.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1534
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
58% |
386
9.07 IPS |
