HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14038
Single Precision Score
14053
Half Precision Score
34722
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 11:03 PM |
| Views | 2 |
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% |
7368
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18012
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9952
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9867
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29163
472.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26368
30.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26515
30.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
107493
125.8 IPS |
|
|
Object Detection (SP)
|
100% |
8459
671.0 IPS |
|
|
Object Detection (HP)
|
100% |
8561
679.0 IPS |
|
|
Object Detection (Q)
|
88% |
19830
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
19767
234.9 IPS |
|
|
Face Detection (HP)
|
100% |
19758
234.8 IPS |
|
|
Face Detection (Q)
|
100% |
60188
715.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25037
192.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24893
191.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
66364
516.4 IPS |
|
|
Style Transfer (SP)
|
100% |
64581
83.0 IPS |
|
|
Style Transfer (HP)
|
100% |
65482
84.2 IPS |
|
|
Style Transfer (Q)
|
98% |
255751
329.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13856
511.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13645
503.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37796
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (HP)
|
100% |
4800
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5940
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
8637
148.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8633
148.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9921
170.9 IPS |
