Dell Inc. PowerEdge R640
Geekbench AI Score
2295
Single Precision Score
639
Half Precision Score
2721
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | angelovic |
| Upload Date | August 08 2025 04:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6138 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | Dell Inc. PowerEdge R640 |
| Motherboard | Dell Inc. 0W23H8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6138 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 384.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1841
342.3 IPS |
|
|
Image Classification (HP)
|
100% |
159
29.6 IPS |
|
|
Image Classification (Q)
|
96% |
2215
413.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
4063
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8548
9.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4970
5.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
16764
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2001
158.7 IPS |
|
|
Object Detection (HP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (Q)
|
58% |
1912
208.9 IPS |
|
|
Face Detection (SP)
|
100% |
5878
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
96% |
4550
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7544
58.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
7292
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14769
19.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9301
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
12040
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1385
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1657
61.4 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.4 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.7 IPS |
|
|
Text Classification (Q)
|
97% |
137
184.1 IPS |
|
|
Machine Translation (SP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (HP)
|
100% |
269
4.64 IPS |
|
|
Machine Translation (Q)
|
68% |
852
16.5 IPS |
