HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5423
Single Precision Score
1173
Half Precision Score
11162
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:47 PM |
| Views | 1 |
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% |
2142
398.3 IPS |
|
|
Image Classification (HP)
|
100% |
205
38.1 IPS |
|
|
Image Classification (Q)
|
97% |
9788
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.18 IPS |
|
|
Image Segmentation (Q)
|
99% |
3501
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22027
25.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9222
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
68981
80.9 IPS |
|
|
Object Detection (SP)
|
100% |
2661
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (Q)
|
86% |
12320
990.1 IPS |
|
|
Face Detection (SP)
|
100% |
4070
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
97% |
19678
234.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12484
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1377
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
21477
171.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37034
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24845
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43819
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3134
115.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5236
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
793
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1964
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3302
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5413
108.8 IPS |
