HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6704
Single Precision Score
7250
Half Precision Score
17569
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | October 30 2025 04:15 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4432
824.2 IPS |
|
|
Image Classification (HP)
|
100% |
5029
935.3 IPS |
|
|
Image Classification (Q)
|
100% |
11700
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4592
74.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4699
76.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7693
124.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10355
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10457
12.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
34016
39.8 IPS |
|
|
Object Detection (SP)
|
100% |
3601
285.6 IPS |
|
|
Object Detection (HP)
|
100% |
4502
357.1 IPS |
|
|
Object Detection (Q)
|
88% |
14391
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
9118
108.3 IPS |
|
|
Face Detection (HP)
|
100% |
9734
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
27051
321.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10212
78.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
10034
77.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
26668
207.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25668
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25133
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
89025
114.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4563
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16952
627.8 IPS |
|
|
Text Classification (SP)
|
100% |
3862
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4812
6.42 KIPS |
|
|
Text Classification (Q)
|
92% |
6192
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5740
98.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5452
93.9 IPS |
|
|
Machine Translation (Q)
|
100% |
9438
162.6 IPS |
