Dell Inc. PowerEdge R630
Geekbench AI Score
1062
Single Precision Score
1024
Half Precision Score
607
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | 6lagos |
| Upload Date | December 17 2025 02:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2640 v3 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Dell Inc. PowerEdge R630 |
| Motherboard | Dell Inc. 0CNCJW |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2640 v3 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
505
94.0 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
99% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
438
7.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1501
1.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
1720
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (Q)
|
85% |
492
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1487
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
1070
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1274
9.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
1352
10.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
871
8.17 IPS |
|
|
Style Transfer (SP)
|
100% |
1669
2.15 IPS |
|
|
Style Transfer (HP)
|
100% |
1743
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
2585
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
608
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
970
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
418
557.9 IPS |
|
|
Text Classification (Q)
|
92% |
181
243.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (Q)
|
58% |
207
4.87 IPS |
