HASEE Computer P65xRP
Geekbench AI Score
1390
Single Precision Score
435
Half Precision Score
2018
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 04:59 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6300HQ |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HASEE Computer P65xRP |
| Motherboard | Notebook P65xRP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (HP)
|
100% |
108
20.1 IPS |
|
|
Image Classification (Q)
|
94% |
1613
301.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.76 IPS |
|
|
Image Segmentation (Q)
|
98% |
1090
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2339
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (Q)
|
86% |
3812
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
845
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
58% |
1178
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
1319
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
225
2.68 IPS |
|
|
Face Detection (Q)
|
96% |
3793
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2614
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
603
4.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
3790
30.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5537
7.12 IPS |
|
|
Style Transfer (HP)
|
100% |
4294
5.52 IPS |
|
|
Style Transfer (Q)
|
87% |
6682
8.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1082
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1410
52.2 IPS |
|
|
Text Classification (SP)
|
100% |
1056
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
343
457.8 IPS |
|
|
Text Classification (Q)
|
97% |
827
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1268
24.5 IPS |
