HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14063
Single Precision Score
14067
Half Precision Score
35022
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:45 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% |
7372
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7346
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17977
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9783
158.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9856
159.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28847
467.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26369
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26728
31.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
108461
127.0 IPS |
|
|
Object Detection (SP)
|
100% |
8485
673.1 IPS |
|
|
Object Detection (HP)
|
100% |
8492
673.6 IPS |
|
|
Object Detection (Q)
|
88% |
20248
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19961
237.2 IPS |
|
|
Face Detection (HP)
|
100% |
19874
236.1 IPS |
|
|
Face Detection (Q)
|
100% |
60590
719.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
25053
193.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25006
192.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67376
524.3 IPS |
|
|
Style Transfer (SP)
|
100% |
64865
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65745
84.5 IPS |
|
|
Style Transfer (Q)
|
98% |
256760
331.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13877
512.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13598
502.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38217
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4784
6.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4770
6.37 KIPS |
|
|
Text Classification (Q)
|
92% |
6059
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
8710
150.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8715
150.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10043
173.0 IPS |
