HP HP EliteDesk 8 Mini G1a Desktop PC
Geekbench AI Score
3035
Single Precision Score
4715
Half Precision Score
2285
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | November 11 2025 07:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 740M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 8 Mini G1a Desktop PC |
| Motherboard | HP 8DAB |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 PRO 215 w/ Radeon 740M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 124 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1086
201.9 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.1 IPS |
|
|
Image Classification (Q)
|
100% |
1076
200.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1697
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13595
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30191
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10391
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (HP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (Q)
|
87% |
995
79.9 IPS |
|
|
Face Detection (SP)
|
100% |
2540
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (Q)
|
97% |
1885
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6076
46.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9928
76.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4907
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25059
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41846
53.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17494
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3908
144.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7445
274.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2752
101.9 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1014
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1375
23.7 IPS |
|
|
Machine Translation (Q)
|
70% |
662
12.4 IPS |
