HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5229
Single Precision Score
1134
Half Precision Score
10086
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 02:58 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% |
2095
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
97% |
9849
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22151
25.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9532
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
70764
83.0 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
238
18.9 IPS |
|
|
Object Detection (Q)
|
86% |
12564
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3985
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
97% |
19384
231.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10596
81.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1118
8.61 IPS |
|
|
Depth Estimation (Q)
|
78% |
8709
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
38100
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25473
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
43930
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3951
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3207
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5274
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
790
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2008
2.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3375
58.1 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4722
94.9 IPS |
