HP HP EliteBook 745 G4
Geekbench AI Score
152
Single Precision Score
118
Half Precision Score
175
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 15 2024 02:41 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD PRO A10-8730B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP EliteBook 745 G4 |
| Motherboard | HP 8236 |
| CPU Information | |
|---|---|
| Name | AMD PRO A10-8730B |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 21 Model 101 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.1 IPS |
|
|
Image Classification (Q)
|
96% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
101
1.63 IPS |
|
|
Image Segmentation (Q)
|
97% |
116
1.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
381
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
87% |
370
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.68 IPS |
|
|
Object Detection (HP)
|
100% |
56
4.47 IPS |
|
|
Object Detection (Q)
|
86% |
93
7.49 IPS |
|
|
Face Detection (SP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (HP)
|
100% |
135
1.61 IPS |
|
|
Face Detection (Q)
|
96% |
265
3.16 IPS |
|
|
Depth Estimation (SP)
|
100% |
328
2.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
184
1.42 IPS |
|
|
Depth Estimation (Q)
|
77% |
266
2.13 IPS |
|
|
Style Transfer (SP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
684
0.88 IPS |
|
|
Style Transfer (Q)
|
87% |
720
0.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
106
3.91 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
102
3.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
124
4.60 IPS |
|
|
Text Classification (SP)
|
100% |
84
112.2 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.4 IPS |
|
|
Text Classification (Q)
|
97% |
43
57.0 IPS |
|
|
Machine Translation (SP)
|
100% |
116
1.99 IPS |
|
|
Machine Translation (HP)
|
100% |
57
0.99 IPS |
|
|
Machine Translation (Q)
|
60% |
153
3.41 IPS |
