HASEE Computer P65xRP
Geekbench AI Score
1912
Single Precision Score
1903
Half Precision Score
2859
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 05:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-6300HQ CPU @ 2.30GHz |
| 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% |
1138
211.6 IPS |
|
|
Image Classification (HP)
|
100% |
1128
209.9 IPS |
|
|
Image Classification (Q)
|
100% |
1814
337.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1220
19.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2043
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2293
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
4121
4.83 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
1094
86.8 IPS |
|
|
Object Detection (Q)
|
87% |
1827
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
4692
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2884
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2886
22.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
4869
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6264
8.05 IPS |
|
|
Style Transfer (HP)
|
100% |
6229
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
11842
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2490
92.2 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1368
1.83 KIPS |
|
|
Text Classification (Q)
|
91% |
900
1.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2161
37.2 IPS |
