Hewlett-Packard HP Compaq Elite 8300 CMT
Geekbench AI Score
465
Single Precision Score
470
Half Precision Score
1214
Quantized Score
Geekbench AI 1.7.0 for Windows x86 (64-bit)
Result Information
| User | fenom |
| Upload Date | April 10 2026 08:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3770 CPU @ 3.40GHz |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
100% |
792
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
949
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
719
0.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
720
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
1633
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (Q)
|
87% |
787
63.1 IPS |
|
|
Face Detection (SP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (Q)
|
97% |
2249
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1348
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1344
10.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
1956
15.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11
0.01 IPS |
|
|
Style Transfer (HP)
|
100% |
12
0.02 IPS |
|
|
Style Transfer (Q)
|
98% |
4974
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1014
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
639
852.3 IPS |
|
|
Text Classification (HP)
|
100% |
643
858.3 IPS |
|
|
Text Classification (Q)
|
91% |
382
513.2 IPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
827
14.2 IPS |
|
|
Machine Translation (Q)
|
100% |
851
14.7 IPS |
