HP HP EliteBook 650 15.6 inch G10 Notebook PC (zonder dock) HP HP EliteBook 650 15.6 inch G10 Notebook PC
Geekbench AI Score
1055
Single Precision Score
399
Half Precision Score
1879
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | jhaan |
| Upload Date | May 07 2025 09:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1365U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | HP HP EliteBook 650 15.6 inch G10 Notebook PC |
| Motherboard | HP 8B8C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
97% |
2289
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2595
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1955
2.28 IPS |
|
|
Pose Estimation (Q)
|
95% |
9436
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (HP)
|
100% |
71
5.60 IPS |
|
|
Object Detection (Q)
|
88% |
1172
93.9 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.31 IPS |
|
|
Face Detection (Q)
|
97% |
2580
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2789
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
224
1.73 IPS |
|
|
Depth Estimation (Q)
|
77% |
3751
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7259
9.33 IPS |
|
|
Style Transfer (HP)
|
100% |
5428
6.98 IPS |
|
|
Style Transfer (Q)
|
98% |
8843
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1321
48.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
803
29.7 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.0 IPS |
|
|
Text Classification (HP)
|
100% |
109
144.9 IPS |
|
|
Text Classification (Q)
|
97% |
343
459.8 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.26 IPS |
|
|
Machine Translation (HP)
|
100% |
421
7.25 IPS |
|
|
Machine Translation (Q)
|
60% |
1415
31.6 IPS |
