HP HP ProDesk 2 Tower G1a Desktop AI PC
Geekbench AI Score
4425
Single Precision Score
7757
Half Precision Score
3276
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | June 29 2025 06:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP ProDesk 2 Tower G1a Desktop AI PC |
| Motherboard | HP 8D33 |
| 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% |
1823
339.0 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.4 IPS |
|
|
Image Classification (Q)
|
100% |
1582
294.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2591
42.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1402
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17094
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
44258
51.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
13531
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
100% |
2960
234.8 IPS |
|
|
Object Detection (Q)
|
87% |
1575
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2754
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
5486
65.2 IPS |
|
|
Face Detection (Q)
|
97% |
2153
25.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9398
72.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18595
143.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6952
55.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37431
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
76014
97.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25423
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8873
327.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15918
587.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5380
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1693
2.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1612
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1816
31.3 IPS |
|
|
Machine Translation (Q)
|
70% |
871
16.3 IPS |
