Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
1476
Single Precision Score
541
Half Precision Score
5070
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | darkernix |
| Upload Date | November 08 2025 01:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
865
160.9 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (Q)
|
97% |
3664
683.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (Q)
|
99% |
2577
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1902
2.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
15015
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
949
75.2 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
86% |
4236
340.4 IPS |
|
|
Face Detection (SP)
|
100% |
2179
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
10429
124.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2592
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
657
5.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
9154
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5352
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
5542
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
19429
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1326
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3234
119.7 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
65% |
2478
49.8 IPS |
