HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14176
Single Precision Score
14210
Half Precision Score
35084
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 12 2025 09:57 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7385
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7392
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18057
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9916
160.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9818
159.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28722
465.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26901
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27071
31.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
110748
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
8505
674.6 IPS |
|
|
Object Detection (HP)
|
100% |
8488
673.3 IPS |
|
|
Object Detection (Q)
|
88% |
20012
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
19905
236.5 IPS |
|
|
Face Detection (HP)
|
100% |
19932
236.8 IPS |
|
|
Face Detection (Q)
|
100% |
61166
726.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25083
193.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
25008
192.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67102
522.2 IPS |
|
|
Style Transfer (SP)
|
100% |
65631
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66149
85.0 IPS |
|
|
Style Transfer (Q)
|
98% |
256975
331.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13642
503.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14013
517.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38224
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
5028
6.71 KIPS |
|
|
Text Classification (HP)
|
100% |
5010
6.69 KIPS |
|
|
Text Classification (Q)
|
92% |
6014
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
8706
150.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8701
149.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10140
174.7 IPS |
