Microsoft Corporation Surface Laptop 5
Geekbench AI Score
1699
Single Precision Score
1344
Half Precision Score
2618
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ttam |
| Upload Date | December 06 2024 07:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Microsoft Corporation Surface Laptop 5 |
| Motherboard | Microsoft Corporation Surface Laptop 5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
974
181.2 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
100% |
1075
200.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
688
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (Q)
|
99% |
1083
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2411
2.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
5645
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
974
77.2 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
88% |
1030
82.6 IPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
3086
36.7 IPS |
|
|
Face Detection (Q)
|
100% |
5515
65.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2939
22.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2837
21.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
6219
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7040
9.05 IPS |
|
|
Style Transfer (HP)
|
100% |
3832
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7544
9.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1323
48.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3047
112.9 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1094
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1806
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1572
27.1 IPS |
