HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
19851
Single Precision Score
27075
Half Precision Score
15797
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jms_ch |
| Upload Date | March 24 2026 10:18 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| Power Plan | Performances leves |
| 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% |
9928
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10765
2.00 KIPS |
|
|
Image Classification (Q)
|
100% |
8952
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16497
267.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13513
219.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14058
228.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
78974
92.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
190606
222.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
73194
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
6591
522.8 IPS |
|
|
Object Detection (HP)
|
100% |
9315
738.9 IPS |
|
|
Object Detection (Q)
|
87% |
6248
501.8 IPS |
|
|
Face Detection (SP)
|
100% |
26399
313.7 IPS |
|
|
Face Detection (HP)
|
100% |
37834
449.6 IPS |
|
|
Face Detection (Q)
|
97% |
22237
265.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41664
321.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58266
448.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
35380
283.7 IPS |
|
|
Style Transfer (SP)
|
100% |
155116
199.4 IPS |
|
|
Style Transfer (HP)
|
100% |
272203
349.9 IPS |
|
|
Style Transfer (Q)
|
98% |
130559
168.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27866
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43520
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24344
901.4 IPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4336
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2477
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6226
107.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7239
124.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2716
50.9 IPS |
