HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
13340
Single Precision Score
13311
Half Precision Score
31855
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | October 28 2025 10:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7382
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7449
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
18334
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4603
74.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4381
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9066
147.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28117
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28227
32.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
113702
133.1 IPS |
|
|
Object Detection (SP)
|
100% |
8560
679.0 IPS |
|
|
Object Detection (HP)
|
100% |
8581
680.6 IPS |
|
|
Object Detection (Q)
|
88% |
20709
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
19786
235.1 IPS |
|
|
Face Detection (HP)
|
100% |
19616
233.1 IPS |
|
|
Face Detection (Q)
|
100% |
63007
748.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25753
198.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
25915
199.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
68098
529.9 IPS |
|
|
Style Transfer (SP)
|
100% |
67564
86.9 IPS |
|
|
Style Transfer (HP)
|
100% |
68416
87.9 IPS |
|
|
Style Transfer (Q)
|
98% |
262466
338.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14339
529.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14388
531.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38947
1.44 KIPS |
|
|
Text Classification (SP)
|
100% |
5035
6.72 KIPS |
|
|
Text Classification (HP)
|
100% |
5007
6.68 KIPS |
|
|
Text Classification (Q)
|
92% |
6079
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
8782
151.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8823
152.0 IPS |
|
|
Machine Translation (Q)
|
100% |
10311
177.6 IPS |
