Hewlett-Packard 700-300z
Geekbench AI Score
216
Single Precision Score
184
Half Precision Score
341
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 05 2026 06:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A10-7800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Hewlett-Packard 700-300z |
| Motherboard | Hewlett-Packard 2B17 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A10-7800 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 48 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.4 IPS |
|
|
Image Classification (Q)
|
96% |
276
51.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
59
0.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
113
1.83 IPS |
|
|
Image Segmentation (Q)
|
97% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
304
0.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
507
0.60 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.73 IPS |
|
|
Object Detection (HP)
|
100% |
100
7.91 IPS |
|
|
Object Detection (Q)
|
58% |
185
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
96% |
473
5.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
78% |
512
4.08 IPS |
|
|
Style Transfer (SP)
|
100% |
864
1.11 IPS |
|
|
Style Transfer (HP)
|
100% |
842
1.08 IPS |
|
|
Style Transfer (Q)
|
87% |
992
1.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
305
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
204
271.9 IPS |
|
|
Text Classification (HP)
|
100% |
131
174.7 IPS |
|
|
Text Classification (Q)
|
97% |
146
195.8 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (Q)
|
68% |
318
6.14 IPS |
