Dell Inc. OptiPlex 9010
Geekbench AI Score
2645
Single Precision Score
4091
Half Precision Score
1823
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | nicholaslim9956 |
| Upload Date | November 24 2024 02:40 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon(TM) RX 460 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 9010 |
| Motherboard | Dell Inc. 00F82W |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1773
329.8 IPS |
|
|
Image Classification (Q)
|
100% |
1154
214.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1778
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4640
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
20322
23.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2960
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
100% |
1911
151.6 IPS |
|
|
Object Detection (Q)
|
90% |
1224
97.8 IPS |
|
|
Face Detection (SP)
|
100% |
545
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (Q)
|
97% |
377
4.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
9272
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10705
82.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
6787
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31764
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34792
44.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26556
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5984
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6447
238.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3926
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
801
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
491
657.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1152
19.9 IPS |
|
|
Machine Translation (Q)
|
60% |
528
11.9 IPS |
