HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6048
Single Precision Score
2217
Half Precision Score
9616
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAGEPRO |
| Upload Date | September 17 2025 10:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5917
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
99% |
11201
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
846
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3425
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15254
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11208
13.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
48967
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4791
380.0 IPS |
|
|
Object Detection (HP)
|
100% |
876
69.5 IPS |
|
|
Object Detection (Q)
|
86% |
12748
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
11075
131.6 IPS |
|
|
Face Detection (HP)
|
100% |
1922
22.8 IPS |
|
|
Face Detection (Q)
|
97% |
14176
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16402
126.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3033
23.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
10877
86.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31122
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26208
33.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47873
61.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4302
158.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4710
174.4 IPS |
|
|
Text Classification (SP)
|
100% |
2025
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
898
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1847
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
65% |
4396
88.3 IPS |
