HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
25665
Single Precision Score
32022
Half Precision Score
20194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | October 30 2025 04:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
12624
2.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13239
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11054
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22718
368.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17151
278.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18288
297.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
135628
158.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
209799
244.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
117245
137.3 IPS |
|
|
Object Detection (SP)
|
100% |
7284
577.8 IPS |
|
|
Object Detection (HP)
|
100% |
13459
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
7125
572.2 IPS |
|
|
Face Detection (SP)
|
100% |
31160
370.2 IPS |
|
|
Face Detection (HP)
|
100% |
44921
533.8 IPS |
|
|
Face Detection (Q)
|
97% |
25723
306.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
54843
422.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
67694
521.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
46108
369.8 IPS |
|
|
Style Transfer (SP)
|
100% |
245202
315.2 IPS |
|
|
Style Transfer (HP)
|
100% |
371048
477.0 IPS |
|
|
Style Transfer (Q)
|
98% |
208277
268.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41977
1.55 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47976
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31838
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3604
4.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4154
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2792
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6905
118.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7865
135.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3042
57.1 IPS |
