HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5101
Single Precision Score
1102
Half Precision Score
10095
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 28 2025 10:04 PM |
| Views | 3 |
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% |
2137
397.5 IPS |
|
|
Image Classification (HP)
|
100% |
162
30.1 IPS |
|
|
Image Classification (Q)
|
97% |
9721
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
3384
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
23049
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10198
11.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
69584
81.6 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
212
16.9 IPS |
|
|
Object Detection (Q)
|
86% |
12287
987.5 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
387
4.59 IPS |
|
|
Face Detection (Q)
|
97% |
19550
233.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10662
82.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1133
8.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
7351
58.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38461
49.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25877
33.3 IPS |
|
|
Style Transfer (Q)
|
98% |
43976
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3887
143.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5475
202.7 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1957
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3413
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5775
116.0 IPS |
