HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14154
Single Precision Score
14147
Half Precision Score
35035
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 10:44 PM |
| Views | 2 |
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% |
7455
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7404
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18126
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9943
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9933
161.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28397
460.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
26712
31.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26749
31.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
108617
127.2 IPS |
|
|
Object Detection (SP)
|
100% |
8386
665.2 IPS |
|
|
Object Detection (HP)
|
100% |
8341
661.6 IPS |
|
|
Object Detection (Q)
|
88% |
20272
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19922
236.7 IPS |
|
|
Face Detection (HP)
|
100% |
19925
236.8 IPS |
|
|
Face Detection (Q)
|
100% |
60847
723.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
25264
194.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
25018
192.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
67349
524.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65766
84.5 IPS |
|
|
Style Transfer (HP)
|
100% |
66522
85.5 IPS |
|
|
Style Transfer (Q)
|
98% |
257108
331.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13997
516.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14121
521.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38539
1.43 KIPS |
|
|
Text Classification (SP)
|
100% |
4788
6.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4798
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
5993
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8765
151.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8713
150.1 IPS |
|
|
Machine Translation (Q)
|
100% |
10104
174.0 IPS |
