HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14082
Single Precision Score
14154
Half Precision Score
35202
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:40 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% |
7307
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7407
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18005
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9772
158.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9824
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
29327
475.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
26742
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26889
31.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
110163
129.0 IPS |
|
|
Object Detection (SP)
|
100% |
8462
671.2 IPS |
|
|
Object Detection (HP)
|
100% |
8471
671.9 IPS |
|
|
Object Detection (Q)
|
88% |
20302
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19992
237.5 IPS |
|
|
Face Detection (HP)
|
100% |
19745
234.6 IPS |
|
|
Face Detection (Q)
|
100% |
60780
722.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25007
192.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25170
193.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
66931
520.9 IPS |
|
|
Style Transfer (SP)
|
100% |
65757
84.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66272
85.2 IPS |
|
|
Style Transfer (Q)
|
98% |
256831
331.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13561
500.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13980
516.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38332
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4861
6.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4842
6.46 KIPS |
|
|
Text Classification (Q)
|
92% |
6089
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
8762
150.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8733
150.4 IPS |
|
|
Machine Translation (Q)
|
100% |
10147
174.8 IPS |
