Micro-Star International Co., Ltd. Prestige 14 AI Studio C1VEG
Geekbench AI Score
2386
Single Precision Score
2393
Half Precision Score
6151
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 14 AI Studio C1VEG |
| Motherboard | Micro-Star International Co., Ltd. MS-14N2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (Q)
|
100% |
3781
703.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2031
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3359
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3497
4.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
3581
4.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
13003
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1276
101.2 IPS |
|
|
Object Detection (HP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (Q)
|
88% |
3435
275.4 IPS |
|
|
Face Detection (SP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
4266
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
8224
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4014
30.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
4115
31.7 IPS |
|
|
Depth Estimation (Q)
|
80% |
10039
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10446
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10550
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36695
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1881
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6355
235.3 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.0 IPS |
|
|
Text Classification (Q)
|
92% |
2533
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1934
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (Q)
|
85% |
2803
49.0 IPS |
