HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
13117
Single Precision Score
13139
Half Precision Score
31376
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 13 2025 10:55 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 | 62.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7331
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7344
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18135
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4571
74.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4350
70.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8771
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
27598
32.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27648
32.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
112191
131.3 IPS |
|
|
Object Detection (SP)
|
100% |
8587
681.2 IPS |
|
|
Object Detection (HP)
|
100% |
8504
674.5 IPS |
|
|
Object Detection (Q)
|
88% |
20535
1.65 KIPS |
|
|
Face Detection (SP)
|
100% |
19415
230.7 IPS |
|
|
Face Detection (HP)
|
100% |
19772
234.9 IPS |
|
|
Face Detection (Q)
|
100% |
61803
734.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25344
195.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
25370
195.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
67375
524.3 IPS |
|
|
Style Transfer (SP)
|
100% |
66451
85.4 IPS |
|
|
Style Transfer (HP)
|
100% |
66988
86.1 IPS |
|
|
Style Transfer (Q)
|
98% |
258607
333.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13737
507.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14165
523.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38437
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4820
6.43 KIPS |
|
|
Text Classification (HP)
|
100% |
4873
6.50 KIPS |
|
|
Text Classification (Q)
|
92% |
5995
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
8771
151.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8802
151.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10169
175.2 IPS |
