HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
3649
Single Precision Score
3556
Half Precision Score
7424
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | slawomirrybarczyk |
| Upload Date | September 03 2025 04:55 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| 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% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
1235
229.7 IPS |
|
|
Image Classification (Q)
|
100% |
3587
667.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3833
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8810
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8650
10.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
29690
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
3036
240.8 IPS |
|
|
Object Detection (HP)
|
100% |
3073
243.8 IPS |
|
|
Object Detection (Q)
|
88% |
3240
259.7 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
3451
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
5485
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6740
51.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7268
56.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
22480
174.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19987
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19480
25.0 IPS |
|
|
Style Transfer (Q)
|
98% |
75374
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3463
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4933
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
1008
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1060
1.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1523
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5514
95.0 IPS |
