GETAC S510 GETAC S510 ARL
Geekbench AI Score
9793
Single Precision Score
21806
Half Precision Score
27378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | jefflin66 |
| Upload Date | February 08 2025 01:25 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140T Graphics (32GB) (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC S510 ARL |
| Motherboard | GETAC S510 ARL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6541
1.22 KIPS |
|
|
Image Classification (HP)
|
100% |
11382
2.12 KIPS |
|
|
Image Classification (Q)
|
100% |
14860
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7452
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16890
273.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19609
317.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23324
27.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
97149
113.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
187311
219.3 IPS |
|
|
Object Detection (SP)
|
100% |
6338
502.8 IPS |
|
|
Object Detection (HP)
|
100% |
12493
991.0 IPS |
|
|
Object Detection (Q)
|
88% |
15089
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
10585
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
24228
287.9 IPS |
|
|
Face Detection (Q)
|
100% |
32775
389.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21461
165.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48812
376.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
64320
500.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59218
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
163401
210.1 IPS |
|
|
Style Transfer (Q)
|
98% |
271314
349.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10092
372.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30072
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37215
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4238
5.66 KIPS |
|
|
Text Classification (Q)
|
92% |
3245
4.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2592
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4232
72.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4160
71.7 IPS |
