Micro-Star International Co., Ltd. Prestige 14 AI Studio C1VEG
Geekbench AI Score
2264
Single Precision Score
599
Half Precision Score
3138
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.1 IPS |
|
|
Image Classification (Q)
|
99% |
2638
492.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
211
3.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
1942
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4082
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2883
3.36 IPS |
|
|
Pose Estimation (Q)
|
95% |
15198
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1403
111.3 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
88% |
1415
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
258
3.07 IPS |
|
|
Face Detection (Q)
|
97% |
3268
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4410
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
770
5.93 IPS |
|
|
Depth Estimation (Q)
|
76% |
6572
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9908
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7228
9.29 IPS |
|
|
Style Transfer (Q)
|
98% |
16378
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1884
69.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1179
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
452
602.8 IPS |
|
|
Text Classification (Q)
|
97% |
457
612.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1475
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.06 IPS |
|
|
Machine Translation (Q)
|
60% |
1717
38.3 IPS |
