HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5430
Single Precision Score
1148
Half Precision Score
10857
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2146
399.2 IPS |
|
|
Image Classification (HP)
|
100% |
204
37.9 IPS |
|
|
Image Classification (Q)
|
97% |
9881
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
3434
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
22826
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9480
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
69348
81.3 IPS |
|
|
Object Detection (SP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (HP)
|
100% |
243
19.2 IPS |
|
|
Object Detection (Q)
|
86% |
12432
999.2 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (Q)
|
97% |
19440
231.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12486
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1281
9.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
21689
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37196
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25274
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43719
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3811
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5181
191.9 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1962
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3319
57.2 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4155
83.5 IPS |
