HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
2914
Single Precision Score
853
Half Precision Score
4838
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | LaurentBonnaud |
| Upload Date | September 07 2024 11:56 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 7840U |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | HP HP EliteBook 865 16 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 5.13 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1845
343.1 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
97% |
3986
743.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
338
5.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
3026
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4079
4.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
20105
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1940
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
270
21.4 IPS |
|
|
Object Detection (Q)
|
88% |
2043
163.8 IPS |
|
|
Face Detection (SP)
|
100% |
3181
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (Q)
|
97% |
6180
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6747
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1197
9.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
8099
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13834
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11391
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21704
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1375
50.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3269
121.0 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
667
890.3 IPS |
|
|
Text Classification (Q)
|
97% |
1896
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1943
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
60% |
2109
47.0 IPS |
