Hewlett-Packard HP Compaq Elite 8300 CMT
Geekbench AI Score
882
Single Precision Score
493
Half Precision Score
926
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | April 10 2026 03:25 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Compaq Elite 8300 CMT |
| Motherboard | Hewlett-Packard 3396 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
607
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
215
40.0 IPS |
|
|
Image Classification (Q)
|
96% |
616
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
774
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
904
1.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
1239
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
58% |
481
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
614
7.30 IPS |
|
|
Face Detection (Q)
|
96% |
1390
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1596
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
718
5.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
1451
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2951
3.79 IPS |
|
|
Style Transfer (HP)
|
100% |
2378
3.06 IPS |
|
|
Style Transfer (Q)
|
87% |
2829
3.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
703
26.1 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.1 IPS |
|
|
Text Classification (HP)
|
100% |
295
394.3 IPS |
|
|
Text Classification (Q)
|
97% |
474
634.5 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
68% |
859
16.6 IPS |
