HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
2797
Single Precision Score
2799
Half Precision Score
2382
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | milkeway |
| Upload Date | January 20 2026 04:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| 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 | 5.18 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.12 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (Q)
|
99% |
1756
327.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1592
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4173
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
4051
4.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
5658
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
2013
159.6 IPS |
|
|
Object Detection (HP)
|
100% |
2032
161.2 IPS |
|
|
Object Detection (Q)
|
85% |
2085
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3385
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
3549
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3071
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2998
23.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2939
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5278
6.78 IPS |
|
|
Style Transfer (HP)
|
100% |
5387
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
9277
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2549
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
1722
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3843
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3813
65.7 IPS |
|
|
Machine Translation (Q)
|
58% |
782
18.4 IPS |
