HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
12014
Single Precision Score
11983
Half Precision Score
27953
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 06 2025 05:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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 High Performance |
| 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% |
6112
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6372
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
15577
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7932
128.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7774
126.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19332
313.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25748
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
25966
30.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
100418
117.6 IPS |
|
|
Object Detection (SP)
|
100% |
7254
575.4 IPS |
|
|
Object Detection (HP)
|
100% |
6844
542.9 IPS |
|
|
Object Detection (Q)
|
88% |
17591
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
16242
193.0 IPS |
|
|
Face Detection (HP)
|
100% |
14795
175.8 IPS |
|
|
Face Detection (Q)
|
100% |
43962
522.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20580
158.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20228
155.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
49187
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65618
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67745
87.1 IPS |
|
|
Style Transfer (Q)
|
98% |
232531
299.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11519
425.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11571
427.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29505
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
92% |
4362
5.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
6928
119.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7177
123.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8462
145.8 IPS |
