Dell Inc. Precision Tower 7810
Geekbench AI Score
12280
Single Precision Score
13452
Half Precision Score
9276
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | miguelsan22 |
| Upload Date | August 16 2024 12:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0GWHMW |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2650 v4 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4372
813.1 IPS |
|
|
Image Classification (HP)
|
100% |
4127
767.5 IPS |
|
|
Image Classification (Q)
|
100% |
3678
684.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7924
128.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6555
106.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6440
104.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
98197
114.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
154362
180.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
82114
96.2 IPS |
|
|
Object Detection (SP)
|
100% |
5640
447.4 IPS |
|
|
Object Detection (HP)
|
100% |
5232
415.0 IPS |
|
|
Object Detection (Q)
|
89% |
4737
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
13690
162.7 IPS |
|
|
Face Detection (HP)
|
100% |
15476
183.9 IPS |
|
|
Face Detection (Q)
|
97% |
11174
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35125
270.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
39849
307.0 IPS |
|
|
Depth Estimation (Q)
|
73% |
24994
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
177747
228.5 IPS |
|
|
Style Transfer (HP)
|
100% |
217139
279.1 IPS |
|
|
Style Transfer (Q)
|
98% |
138287
178.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21322
787.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24515
905.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15547
575.7 IPS |
|
|
Text Classification (SP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (Q)
|
97% |
773
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (Q)
|
60% |
1103
24.6 IPS |
