HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6832
Single Precision Score
7057
Half Precision Score
18212
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAGEPRO |
| Upload Date | September 17 2025 09:58 AM |
| Views | 4 |
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 Optimized (Modern Standby) |
| 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% |
4158
773.2 IPS |
|
|
Image Classification (HP)
|
100% |
4681
870.5 IPS |
|
|
Image Classification (Q)
|
100% |
12079
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3999
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4743
76.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12187
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10374
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10204
11.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
35672
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
4559
361.6 IPS |
|
|
Object Detection (HP)
|
100% |
3631
288.0 IPS |
|
|
Object Detection (Q)
|
88% |
12154
974.3 IPS |
|
|
Face Detection (SP)
|
100% |
9413
111.8 IPS |
|
|
Face Detection (HP)
|
100% |
10499
124.7 IPS |
|
|
Face Detection (Q)
|
100% |
23257
276.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9099
70.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11246
86.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
27065
210.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28081
36.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27944
35.9 IPS |
|
|
Style Transfer (Q)
|
98% |
92675
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6187
228.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4699
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18015
667.2 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
92% |
6789
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6424
110.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6227
107.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8820
151.9 IPS |
