HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
19488
Single Precision Score
24068
Half Precision Score
15873
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 23 2025 07:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8050S 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 390 w/ Radeon 8050S |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9595
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
10525
1.96 KIPS |
|
|
Image Classification (Q)
|
100% |
8849
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16066
260.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13013
210.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13442
218.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71137
83.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
118939
138.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
67373
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
7161
568.0 IPS |
|
|
Object Detection (HP)
|
100% |
9843
780.7 IPS |
|
|
Object Detection (Q)
|
87% |
6951
558.3 IPS |
|
|
Face Detection (SP)
|
100% |
25335
301.0 IPS |
|
|
Face Detection (HP)
|
100% |
34336
408.0 IPS |
|
|
Face Detection (Q)
|
97% |
22384
266.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43952
338.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
54569
420.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
37179
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
146308
188.1 IPS |
|
|
Style Transfer (HP)
|
100% |
223722
287.6 IPS |
|
|
Style Transfer (Q)
|
98% |
131197
169.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26044
961.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34414
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21170
783.9 IPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2570
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
6528
112.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7344
126.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3069
57.6 IPS |
