HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5443
Single Precision Score
1207
Half Precision Score
11275
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 08 2025 12:34 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% |
2135
397.1 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (Q)
|
97% |
9755
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22439
26.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9561
11.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
69829
81.9 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (Q)
|
86% |
12434
999.3 IPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
97% |
19681
234.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12343
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1400
10.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
21064
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37254
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25245
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
43728
56.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3012
111.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5366
198.7 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2017
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5551
111.5 IPS |
