Micro-Star International Co., Ltd. Prestige 14 AI Studio C1VEG
Geekbench AI Score
12349
Single Precision Score
22038
Half Precision Score
9555
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 06:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4050 Laptop GPU |
| 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% |
4843
900.6 IPS |
|
|
Image Classification (HP)
|
99% |
8875
1.66 KIPS |
|
|
Image Classification (Q)
|
100% |
4448
827.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9271
150.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13075
212.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8281
134.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
55043
64.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
173681
202.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
46373
54.3 IPS |
|
|
Object Detection (SP)
|
100% |
6114
484.9 IPS |
|
|
Object Detection (HP)
|
100% |
10667
846.1 IPS |
|
|
Object Detection (Q)
|
89% |
5546
443.9 IPS |
|
|
Face Detection (SP)
|
100% |
13499
160.4 IPS |
|
|
Face Detection (HP)
|
100% |
22693
269.6 IPS |
|
|
Face Detection (Q)
|
97% |
11114
132.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25648
197.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58233
448.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
21226
178.1 IPS |
|
|
Style Transfer (SP)
|
100% |
94463
121.4 IPS |
|
|
Style Transfer (HP)
|
100% |
253247
325.6 IPS |
|
|
Style Transfer (Q)
|
98% |
84437
108.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19662
726.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34223
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14871
550.6 IPS |
|
|
Text Classification (SP)
|
100% |
2738
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3298
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1642
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3101
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3329
57.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1378
30.7 IPS |
