Micro-Star International Co., Ltd. Prestige 15 A11SB
Geekbench AI Score
4394
Single Precision Score
4387
Half Precision Score
3246
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | January 27 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce MX450 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 15 A11SB |
| Motherboard | Micro-Star International Co., Ltd. MS-16S6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1185G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.8 IPS |
|
|
Image Classification (Q)
|
99% |
1651
308.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2536
41.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2008
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15793
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13796
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13374
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
83% |
1813
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
5175
61.5 IPS |
|
|
Face Detection (Q)
|
97% |
3290
39.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10444
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10096
77.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7813
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36156
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27687
35.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28710
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6356
234.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6593
243.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4111
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
1514
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
909
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
815
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1481
25.6 IPS |
|
|
Machine Translation (Q)
|
70% |
654
12.3 IPS |
