Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VGG
Geekbench AI Score
18991
Single Precision Score
30061
Half Precision Score
15129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Remembered2U |
| Upload Date | January 01 2025 01:05 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Stealth 16 AI Studio A1VGG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7794
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
11896
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
7150
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12596
204.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15566
252.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11422
185.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
107900
125.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
292810
341.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
90176
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
9015
715.1 IPS |
|
|
Object Detection (HP)
|
100% |
14414
1.14 KIPS |
|
|
Object Detection (Q)
|
85% |
8261
665.0 IPS |
|
|
Face Detection (SP)
|
100% |
23069
274.1 IPS |
|
|
Face Detection (HP)
|
100% |
33790
401.5 IPS |
|
|
Face Detection (Q)
|
97% |
20540
244.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
44919
346.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86918
669.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
37085
296.4 IPS |
|
|
Style Transfer (SP)
|
100% |
178953
230.0 IPS |
|
|
Style Transfer (HP)
|
100% |
433628
557.4 IPS |
|
|
Style Transfer (Q)
|
98% |
170572
219.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33523
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46014
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23847
883.0 IPS |
|
|
Text Classification (SP)
|
100% |
3013
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3630
4.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1863
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3412
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3625
62.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1789
33.5 IPS |
