HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14162
Single Precision Score
14222
Half Precision Score
35072
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:36 PM |
| 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% |
7404
1.38 KIPS |
|
|
Image Classification (HP)
|
100% |
7419
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18064
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9834
159.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9881
160.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
28945
469.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27272
31.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27447
32.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
111380
130.4 IPS |
|
|
Object Detection (SP)
|
100% |
8494
673.7 IPS |
|
|
Object Detection (HP)
|
100% |
8552
678.4 IPS |
|
|
Object Detection (Q)
|
88% |
20246
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19936
236.9 IPS |
|
|
Face Detection (HP)
|
100% |
19871
236.1 IPS |
|
|
Face Detection (Q)
|
100% |
60261
716.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24995
192.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25115
193.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
67009
521.5 IPS |
|
|
Style Transfer (SP)
|
100% |
66486
85.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66852
85.9 IPS |
|
|
Style Transfer (Q)
|
98% |
257821
332.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13625
503.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13964
515.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38078
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5998
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
8751
150.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8688
149.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10045
173.0 IPS |
