HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
21567
Single Precision Score
26843
Half Precision Score
17444
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 24 2025 01:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10630
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
11257
2.09 KIPS |
|
|
Image Classification (Q)
|
100% |
9273
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18488
299.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14932
242.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15722
255.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92005
107.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152249
177.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
87263
102.2 IPS |
|
|
Object Detection (SP)
|
100% |
6885
546.1 IPS |
|
|
Object Detection (HP)
|
100% |
11167
885.8 IPS |
|
|
Object Detection (Q)
|
87% |
6644
533.6 IPS |
|
|
Face Detection (SP)
|
100% |
27852
330.9 IPS |
|
|
Face Detection (HP)
|
100% |
38550
458.1 IPS |
|
|
Face Detection (Q)
|
97% |
23344
278.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47204
363.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57221
440.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39937
320.3 IPS |
|
|
Style Transfer (SP)
|
100% |
175636
225.8 IPS |
|
|
Style Transfer (HP)
|
100% |
285596
367.1 IPS |
|
|
Style Transfer (Q)
|
98% |
155729
200.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32540
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39589
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25920
959.8 IPS |
|
|
Text Classification (SP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2605
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6264
107.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7097
122.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3150
59.1 IPS |
