Micro-Star International Co., Ltd. Prestige 15 A11SB
Geekbench AI Score
3027
Single Precision Score
3018
Half Precision Score
8022
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Puffin |
| Upload Date | January 27 2025 01:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1185G7 @ 3.00GHz |
| 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% |
1930
358.9 IPS |
|
|
Image Classification (HP)
|
100% |
1976
367.5 IPS |
|
|
Image Classification (Q)
|
100% |
5407
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4787
77.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3526
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3534
4.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
13900
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1791
142.1 IPS |
|
|
Object Detection (HP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (Q)
|
88% |
5499
440.8 IPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
4626
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
13337
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4787
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4903
37.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
14250
110.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9519
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9777
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
36166
46.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2096
77.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7543
279.3 IPS |
|
|
Text Classification (SP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (Q)
|
92% |
4265
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2549
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2523
43.5 IPS |
