Micro-Star International Co., Ltd. CreatorPro 16 AI Studio A1VMG
Geekbench AI Score
22509
Single Precision Score
33889
Half Precision Score
17368
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 16 2025 10:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. CreatorPro 16 AI Studio A1VMG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8389
1.56 KIPS |
|
|
Image Classification (HP)
|
99% |
12286
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
7361
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16135
261.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20977
340.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14612
237.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
145914
170.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
343826
401.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
136806
160.3 IPS |
|
|
Object Detection (SP)
|
100% |
10915
865.8 IPS |
|
|
Object Detection (HP)
|
100% |
15455
1.23 KIPS |
|
|
Object Detection (Q)
|
85% |
9519
765.8 IPS |
|
|
Face Detection (SP)
|
100% |
33035
392.5 IPS |
|
|
Face Detection (HP)
|
100% |
43940
522.1 IPS |
|
|
Face Detection (Q)
|
97% |
28705
342.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
54599
420.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100077
773.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
42651
340.6 IPS |
|
|
Style Transfer (SP)
|
100% |
243855
313.5 IPS |
|
|
Style Transfer (HP)
|
100% |
556644
715.6 IPS |
|
|
Style Transfer (Q)
|
98% |
213572
275.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34870
1.29 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47193
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26991
999.4 IPS |
|
|
Text Classification (SP)
|
100% |
2527
3.37 KIPS |
|
|
Text Classification (HP)
|
99% |
3138
4.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1463
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3997
68.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4025
69.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1727
32.4 IPS |
