HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
3636
Single Precision Score
2005
Half Precision Score
8052
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | morewings |
| Upload Date | July 02 2025 07:21 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (HP)
|
100% |
634
117.9 IPS |
|
|
Image Classification (Q)
|
99% |
10222
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5294
86.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13315
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10338
12.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
43107
50.5 IPS |
|
|
Object Detection (SP)
|
100% |
4215
334.4 IPS |
|
|
Object Detection (HP)
|
100% |
800
63.5 IPS |
|
|
Object Detection (Q)
|
86% |
11111
893.0 IPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1817
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
12180
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4774
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2776
21.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10587
84.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26038
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22420
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
49480
63.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1376
50.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3074
113.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3981
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
674
899.2 IPS |
|
|
Text Classification (Q)
|
97% |
511
684.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2929
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3409
68.5 IPS |
