HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5222
Single Precision Score
1086
Half Precision Score
9932
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 07:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2112
392.8 IPS |
|
|
Image Classification (HP)
|
100% |
160
29.8 IPS |
|
|
Image Classification (Q)
|
97% |
9919
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.66 IPS |
|
|
Image Segmentation (Q)
|
99% |
3275
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21872
25.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9491
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
71452
83.8 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
86% |
12286
987.4 IPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
19591
233.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10634
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1195
9.21 IPS |
|
|
Depth Estimation (Q)
|
78% |
8159
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
38195
49.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25159
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43975
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5155
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
2022
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4474
89.9 IPS |
