HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14142
Single Precision Score
14134
Half Precision Score
35065
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:38 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% |
7386
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7397
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18016
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9802
158.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9924
160.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29107
471.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26881
31.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27003
31.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
110321
129.2 IPS |
|
|
Object Detection (SP)
|
100% |
8494
673.8 IPS |
|
|
Object Detection (HP)
|
100% |
8529
676.5 IPS |
|
|
Object Detection (Q)
|
88% |
20204
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
19992
237.6 IPS |
|
|
Face Detection (HP)
|
100% |
19877
236.2 IPS |
|
|
Face Detection (Q)
|
100% |
60130
714.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
25110
193.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24975
192.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
66832
520.1 IPS |
|
|
Style Transfer (SP)
|
100% |
66026
84.9 IPS |
|
|
Style Transfer (HP)
|
100% |
64975
83.5 IPS |
|
|
Style Transfer (Q)
|
98% |
258048
332.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13845
511.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13974
516.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38110
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4824
6.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
92% |
6028
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
8748
150.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8763
150.9 IPS |
|
|
Machine Translation (Q)
|
100% |
10093
173.9 IPS |
