HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
18895
Single Precision Score
23539
Half Precision Score
15184
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 01:34 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
9239
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
9660
1.80 KIPS |
|
|
Image Classification (Q)
|
100% |
8261
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16715
271.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14621
237.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14012
227.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
78434
91.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
135146
157.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
75036
87.9 IPS |
|
|
Object Detection (SP)
|
100% |
6052
480.1 IPS |
|
|
Object Detection (HP)
|
100% |
8923
707.8 IPS |
|
|
Object Detection (Q)
|
87% |
5871
471.5 IPS |
|
|
Face Detection (SP)
|
100% |
24424
290.2 IPS |
|
|
Face Detection (HP)
|
100% |
33052
392.7 IPS |
|
|
Face Detection (Q)
|
97% |
20616
245.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37827
291.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47217
363.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
31766
254.7 IPS |
|
|
Style Transfer (SP)
|
100% |
160437
206.2 IPS |
|
|
Style Transfer (HP)
|
100% |
251135
322.8 IPS |
|
|
Style Transfer (Q)
|
98% |
140534
181.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27434
1.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33906
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20654
764.8 IPS |
|
|
Text Classification (SP)
|
100% |
3396
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3470
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5730
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6651
114.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2878
54.0 IPS |
