HP Pro 3340 MT Hewlett-Packard HP Pro 3340 MT
Geekbench AI Score
390
Single Precision Score
253
Half Precision Score
389
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | anupdebnath7 |
| Upload Date | February 25 2025 04:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2120 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Pro 3340 MT |
| Motherboard | Foxconn 17A1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2120 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
319
59.3 IPS |
|
|
Image Classification (HP)
|
100% |
89
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
294
54.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
243
3.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
549
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
446
0.52 IPS |
|
|
Pose Estimation (Q)
|
86% |
561
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
135
10.7 IPS |
|
|
Object Detection (HP)
|
100% |
149
11.8 IPS |
|
|
Object Detection (Q)
|
58% |
206
22.6 IPS |
|
|
Face Detection (SP)
|
100% |
773
9.18 IPS |
|
|
Face Detection (HP)
|
100% |
376
4.47 IPS |
|
|
Face Detection (Q)
|
96% |
665
7.93 IPS |
|
|
Depth Estimation (SP)
|
100% |
733
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
410
3.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
624
4.97 IPS |
|
|
Style Transfer (SP)
|
100% |
1405
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1165
1.50 IPS |
|
|
Style Transfer (Q)
|
87% |
1147
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.14 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
296
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
196
262.1 IPS |
|
|
Text Classification (HP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (Q)
|
97% |
164
219.4 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (HP)
|
100% |
162
2.79 IPS |
|
|
Machine Translation (Q)
|
68% |
425
8.21 IPS |
