HP HP ZHAN66 14+ G1a AI
Geekbench AI Score
5286
Single Precision Score
8059
Half Precision Score
4234
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | soralis |
| Upload Date | November 06 2025 05:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) 860M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZHAN66 14+ G1a AI |
| Motherboard | HP 8E0D |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 7 350 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 96 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1874
348.6 IPS |
|
|
Image Classification (HP)
|
100% |
2711
504.1 IPS |
|
|
Image Classification (Q)
|
100% |
1784
331.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3480
56.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2888
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27520
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
55679
65.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
20652
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1742
138.1 IPS |
|
|
Object Detection (HP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (Q)
|
87% |
1579
126.8 IPS |
|
|
Face Detection (SP)
|
100% |
5110
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
8797
104.5 IPS |
|
|
Face Detection (Q)
|
97% |
4224
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14243
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20096
154.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
10915
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50411
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90520
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
36967
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7915
292.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18220
672.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6320
234.0 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
853
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2211
38.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2445
42.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1202
22.5 IPS |
