HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
4385
Single Precision Score
1673
Half Precision Score
7937
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | CarbonFire |
| Upload Date | June 12 2025 12:35 PM |
| Views | 3 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3849
715.8 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
8202
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
870
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2917
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10684
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7436
8.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
38271
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (HP)
|
100% |
678
53.7 IPS |
|
|
Object Detection (Q)
|
86% |
9920
797.2 IPS |
|
|
Face Detection (SP)
|
100% |
7926
94.2 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
11028
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11218
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9428
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21523
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17840
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
41961
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2317
85.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3927
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
1611
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.9 IPS |
|
|
Text Classification (Q)
|
97% |
1691
2.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3772
75.8 IPS |
