Dell Inc. PowerEdge R740
Geekbench AI Score
16962
Single Precision Score
23599
Half Precision Score
14070
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 02 2025 10:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 4000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Dell Inc. PowerEdge R740 |
| Motherboard | Dell Inc. 0WXD1Y |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6246R |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6631
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
9106
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6159
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8400
136.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9589
155.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7935
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
120007
140.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
270778
316.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
108562
127.2 IPS |
|
|
Object Detection (SP)
|
100% |
8137
645.5 IPS |
|
|
Object Detection (HP)
|
100% |
11151
884.5 IPS |
|
|
Object Detection (Q)
|
85% |
7282
586.2 IPS |
|
|
Face Detection (SP)
|
100% |
19954
237.1 IPS |
|
|
Face Detection (HP)
|
100% |
24494
291.0 IPS |
|
|
Face Detection (Q)
|
97% |
17984
214.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
50028
385.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78963
608.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
40585
324.1 IPS |
|
|
Style Transfer (SP)
|
100% |
194770
250.4 IPS |
|
|
Style Transfer (HP)
|
100% |
402439
517.3 IPS |
|
|
Style Transfer (Q)
|
98% |
175670
226.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32867
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39749
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25073
928.4 IPS |
|
|
Text Classification (SP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (HP)
|
99% |
2842
3.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1648
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2311
39.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1486
27.9 IPS |
