HASEE Computer P65xRP
Geekbench AI Score
938
Single Precision Score
940
Half Precision Score
533
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | geekbench_real |
| Upload Date | April 09 2025 04:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
655
121.8 IPS |
|
|
Image Classification (HP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (Q)
|
99% |
342
63.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
380
6.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
1086
1.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1087
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
872
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
666
52.9 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.7 IPS |
|
|
Object Detection (Q)
|
85% |
376
30.3 IPS |
|
|
Face Detection (SP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
817
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1158
8.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
63% |
713
6.68 IPS |
|
|
Style Transfer (SP)
|
100% |
1534
1.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1537
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
1857
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
654
24.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
651
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
491
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
870
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
92% |
298
401.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
58% |
278
6.54 IPS |
