HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
2802
Single Precision Score
2796
Half Precision Score
2256
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| Upload Date | July 08 2025 07:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1892
351.8 IPS |
|
|
Image Classification (HP)
|
100% |
1859
345.8 IPS |
|
|
Image Classification (Q)
|
99% |
1668
311.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1373
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4286
5.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
4175
4.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
5529
6.48 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
100% |
2130
169.0 IPS |
|
|
Object Detection (Q)
|
85% |
1923
154.8 IPS |
|
|
Face Detection (SP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
3256
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3083
23.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3174
24.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2857
26.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5181
6.66 IPS |
|
|
Style Transfer (HP)
|
100% |
5205
6.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8953
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1865
68.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1880
69.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2408
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1498
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
867
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3438
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (Q)
|
58% |
809
19.0 IPS |
