HP HP ProDesk 2 Tower G1a Desktop AI PC
Geekbench AI Score
3149
Single Precision Score
1689
Half Precision Score
4642
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 03:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | HP HP ProDesk 2 Tower G1a Desktop AI PC |
| Motherboard | HP 8D33 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.2 IPS |
|
|
Image Classification (Q)
|
99% |
5070
945.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3562
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7104
8.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5557
6.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
24433
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2177
172.7 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.6 IPS |
|
|
Object Detection (Q)
|
88% |
2135
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
2080
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
1472
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
3858
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7358
56.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2598
20.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5226
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15860
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14672
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
17157
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2670
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2493
92.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1861
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1944
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2215
49.4 IPS |
