HP HP ProDesk 2 Tower G1a Desktop AI PC
Geekbench AI Score
5059
Single Precision Score
4978
Half Precision Score
15018
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 04:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8700G w/ Radeon 780M Graphics |
| 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% |
3833
712.9 IPS |
|
|
Image Classification (HP)
|
100% |
3862
718.1 IPS |
|
|
Image Classification (Q)
|
100% |
10329
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7967
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7588
8.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
7661
8.94 IPS |
|
|
Pose Estimation (Q)
|
98% |
30878
36.2 IPS |
|
|
Object Detection (SP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
3222
255.6 IPS |
|
|
Object Detection (Q)
|
88% |
10521
843.4 IPS |
|
|
Face Detection (SP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
5263
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
24568
291.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8695
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7041
54.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
26540
206.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19800
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19975
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
80731
104.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4365
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4482
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15752
583.4 IPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3849
5.14 KIPS |
|
|
Text Classification (Q)
|
92% |
5587
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4107
70.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4714
81.2 IPS |
