HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
14044
Single Precision Score
14101
Half Precision Score
34859
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 11 2025 11:07 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% |
7356
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7355
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17899
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9846
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9964
161.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28983
469.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26510
30.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26762
31.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
108763
127.3 IPS |
|
|
Object Detection (SP)
|
100% |
8476
672.3 IPS |
|
|
Object Detection (HP)
|
100% |
8511
675.1 IPS |
|
|
Object Detection (Q)
|
88% |
20125
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
19954
237.1 IPS |
|
|
Face Detection (HP)
|
100% |
19980
237.4 IPS |
|
|
Face Detection (Q)
|
100% |
60706
721.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24704
190.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24979
192.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
66910
520.7 IPS |
|
|
Style Transfer (SP)
|
100% |
64873
83.4 IPS |
|
|
Style Transfer (HP)
|
100% |
65386
84.1 IPS |
|
|
Style Transfer (Q)
|
98% |
256238
330.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13805
509.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13924
514.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38028
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
4825
6.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4801
6.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5932
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
8615
148.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8536
147.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9938
171.2 IPS |
