HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
6460
Single Precision Score
2385
Half Precision Score
11125
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | October 30 2025 04:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
6387
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
826
153.6 IPS |
|
|
Image Classification (Q)
|
99% |
11525
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15391
250.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15143
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11286
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
48085
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
4622
366.6 IPS |
|
|
Object Detection (HP)
|
100% |
885
70.2 IPS |
|
|
Object Detection (Q)
|
86% |
12614
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
11158
132.6 IPS |
|
|
Face Detection (HP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
13042
155.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15544
119.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3094
23.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
10419
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30235
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25462
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
47607
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3998
147.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3382
124.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5754
213.1 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1802
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3195
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4026
80.9 IPS |
