HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14112
Single Precision Score
14119
Half Precision Score
35064
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:43 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% |
7349
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7402
1.38 KIPS |
|
|
Image Classification (Q)
|
100% |
18148
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9846
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9867
159.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28655
464.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26611
31.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
26764
31.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
108759
127.3 IPS |
|
|
Object Detection (SP)
|
100% |
8525
676.2 IPS |
|
|
Object Detection (HP)
|
100% |
8401
666.3 IPS |
|
|
Object Detection (Q)
|
88% |
20284
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
19907
236.5 IPS |
|
|
Face Detection (HP)
|
100% |
19866
236.0 IPS |
|
|
Face Detection (Q)
|
100% |
60384
717.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24982
192.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24987
192.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
67000
521.4 IPS |
|
|
Style Transfer (SP)
|
100% |
65466
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66027
84.9 IPS |
|
|
Style Transfer (Q)
|
98% |
257772
332.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13837
510.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13932
514.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38438
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4837
6.46 KIPS |
|
|
Text Classification (HP)
|
100% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
92% |
6063
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
8761
150.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8766
151.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10078
173.6 IPS |
