HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
3552
Single Precision Score
1634
Half Precision Score
7640
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jms_ch |
| Upload Date | March 24 2026 06:09 AM |
| Views | 4 |
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 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% |
2568
477.6 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.7 IPS |
|
|
Image Classification (Q)
|
99% |
6933
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
801
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10438
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8057
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8030
9.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
39752
46.6 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
8480
681.6 IPS |
|
|
Face Detection (SP)
|
100% |
7841
93.2 IPS |
|
|
Face Detection (HP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
10183
121.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10231
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2302
17.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8797
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16692
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16344
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
45283
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1984
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1819
67.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1539
57.0 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.8 IPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2162
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3930
79.0 IPS |
