HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
5407
Single Precision Score
1978
Half Precision Score
8718
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Eikka71 |
| Upload Date | May 23 2025 10:14 AM |
| Views | 5 |
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 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4639
862.7 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
99% |
9661
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1200
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3266
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13890
16.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9976
11.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
45094
52.9 IPS |
|
|
Object Detection (SP)
|
100% |
4205
333.6 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.2 IPS |
|
|
Object Detection (Q)
|
86% |
11834
951.1 IPS |
|
|
Face Detection (SP)
|
100% |
10350
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
1943
23.1 IPS |
|
|
Face Detection (Q)
|
97% |
11402
136.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14295
110.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2623
20.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9876
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27364
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23518
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
42374
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3415
126.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2869
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.9 IPS |
|
|
Text Classification (SP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
700
935.0 IPS |
|
|
Text Classification (Q)
|
97% |
1608
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2845
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4518
90.8 IPS |
