HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14087
Single Precision Score
14204
Half Precision Score
35141
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:41 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% |
7335
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7384
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18023
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10038
162.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
29293
474.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
26263
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26805
31.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
108831
127.4 IPS |
|
|
Object Detection (SP)
|
100% |
8534
676.9 IPS |
|
|
Object Detection (HP)
|
100% |
8549
678.1 IPS |
|
|
Object Detection (Q)
|
88% |
20445
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
20051
238.2 IPS |
|
|
Face Detection (HP)
|
100% |
19965
237.2 IPS |
|
|
Face Detection (Q)
|
100% |
60272
716.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25066
193.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25090
193.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
67357
524.2 IPS |
|
|
Style Transfer (SP)
|
100% |
65001
83.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66116
85.0 IPS |
|
|
Style Transfer (Q)
|
98% |
256615
330.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13603
502.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13971
515.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38131
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4821
6.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6069
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
8774
151.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8745
150.6 IPS |
|
|
Machine Translation (Q)
|
100% |
10140
174.7 IPS |
