HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
5151
Single Precision Score
1977
Half Precision Score
8526
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceDok |
| Upload Date | May 25 2025 10:13 PM |
| Views | 3 |
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 Pro (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% |
4545
845.2 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
99% |
9937
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
923
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3390
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13669
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9656
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
44401
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
4379
347.3 IPS |
|
|
Object Detection (HP)
|
100% |
794
63.0 IPS |
|
|
Object Detection (Q)
|
86% |
10680
858.4 IPS |
|
|
Face Detection (SP)
|
100% |
8943
106.3 IPS |
|
|
Face Detection (HP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
12237
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14573
112.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2912
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10395
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28514
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23246
29.9 IPS |
|
|
Style Transfer (Q)
|
98% |
40388
52.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3256
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3911
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
1635
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.5 IPS |
|
|
Text Classification (Q)
|
97% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3012
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3934
79.0 IPS |
