HP HP EliteBook 865 16 inch G10 Notebook PC
Geekbench AI Score
7152
Single Precision Score
10489
Half Precision Score
5539
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 10:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 865 16 inch G10 Notebook PC |
| Motherboard | HP 8B6E |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2792
519.2 IPS |
|
|
Image Classification (HP)
|
100% |
4276
795.2 IPS |
|
|
Image Classification (Q)
|
100% |
2809
522.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3980
64.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3231
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
32808
38.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58076
67.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
26628
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
3242
257.2 IPS |
|
|
Object Detection (Q)
|
87% |
2260
181.5 IPS |
|
|
Face Detection (SP)
|
100% |
5831
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
10340
122.9 IPS |
|
|
Face Detection (Q)
|
97% |
5072
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16079
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22980
177.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12658
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
56038
72.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94224
121.1 IPS |
|
|
Style Transfer (Q)
|
98% |
43288
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10462
386.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20294
749.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7266
269.1 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1662
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2994
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3251
56.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1484
27.8 IPS |
