Micro-Star International Co., Ltd. Prestige 14 AI Evo C1MG
Geekbench AI Score
2533
Single Precision Score
2423
Half Precision Score
6955
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | darkernix |
| Upload Date | November 08 2025 01:17 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
1445
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
1460
271.5 IPS |
|
|
Image Classification (Q)
|
100% |
4534
843.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4549
73.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3041
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
12608
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (HP)
|
100% |
1315
104.3 IPS |
|
|
Object Detection (Q)
|
88% |
4127
330.8 IPS |
|
|
Face Detection (SP)
|
100% |
4355
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
3576
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
9592
114.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3571
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3744
28.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11485
89.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8820
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8913
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33282
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1809
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7406
274.3 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
1589
2.12 KIPS |
|
|
Text Classification (Q)
|
92% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2195
37.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2309
39.8 IPS |
