GETAC X600
Geekbench AI Score
3074
Single Precision Score
1236
Half Precision Score
4285
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 06:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC X600 |
| Motherboard | GETAC X600 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2364
439.7 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
99% |
5150
960.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
690
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2104
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5326
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
4041
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
16931
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
3755
301.8 IPS |
|
|
Face Detection (SP)
|
100% |
4643
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
6883
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6702
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1761
13.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11054
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12265
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9291
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18638
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3180
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
656
876.2 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.67 IPS |
|
|
Machine Translation (Q)
|
65% |
1823
36.6 IPS |
