HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6636
Single Precision Score
6514
Half Precision Score
19380
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| Power Plan | HP Optimized (Modern Standby) |
| 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 | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3599
669.4 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
100% |
11680
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3946
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2903
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14245
230.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9091
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9118
10.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
38885
45.5 IPS |
|
|
Object Detection (SP)
|
100% |
4115
326.4 IPS |
|
|
Object Detection (HP)
|
100% |
4221
334.8 IPS |
|
|
Object Detection (Q)
|
88% |
12824
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
10373
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11753
139.7 IPS |
|
|
Face Detection (Q)
|
100% |
32196
382.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10603
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8866
68.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
28313
220.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21587
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22414
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
98185
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5706
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5607
207.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18742
694.1 IPS |
|
|
Text Classification (SP)
|
100% |
3996
5.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
92% |
6398
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5760
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5977
103.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8397
144.6 IPS |
