HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
21696
Single Precision Score
32229
Half Precision Score
16954
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:35 AM |
| Views | 2 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10906
2.03 KIPS |
|
|
Image Classification (HP)
|
100% |
11515
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
9907
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18574
301.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16547
268.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
15968
259.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
79260
92.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
298764
348.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74168
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
6763
536.5 IPS |
|
|
Object Detection (HP)
|
100% |
10566
838.1 IPS |
|
|
Object Detection (Q)
|
87% |
6616
531.4 IPS |
|
|
Face Detection (SP)
|
100% |
27180
323.0 IPS |
|
|
Face Detection (HP)
|
100% |
44649
530.5 IPS |
|
|
Face Detection (Q)
|
97% |
23152
276.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44895
345.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
64826
499.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
31038
248.9 IPS |
|
|
Style Transfer (SP)
|
100% |
180232
231.7 IPS |
|
|
Style Transfer (HP)
|
100% |
375688
483.0 IPS |
|
|
Style Transfer (Q)
|
98% |
146968
189.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33536
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52248
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26887
995.6 IPS |
|
|
Text Classification (SP)
|
100% |
4224
5.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2825
3.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
6833
117.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8002
137.8 IPS |
|
|
Machine Translation (Q)
|
70% |
3152
59.1 IPS |
