Hewlett-Packard HP Compaq Elite 8300 CMT
Geekbench AI Score
1102
Single Precision Score
1134
Half Precision Score
806
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | April 10 2026 04:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P400 |
| 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% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
100% |
201
37.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
562
9.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
528
8.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3048
3.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
4027
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
83% |
272
22.0 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
900
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
517
6.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
1966
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1855
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
1612
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8766
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
5551
7.14 IPS |
|
|
Style Transfer (Q)
|
98% |
7024
9.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1516
56.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1276
47.2 IPS |
|
|
Text Classification (SP)
|
100% |
605
807.0 IPS |
|
|
Text Classification (HP)
|
100% |
614
819.4 IPS |
|
|
Text Classification (Q)
|
97% |
328
440.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
96% |
1077
18.6 IPS |
|
|
Machine Translation (Q)
|
70% |
407
7.64 IPS |
