Dell Inc. Precision Tower 7910
Geekbench AI Score
1434
Single Precision Score
1430
Half Precision Score
863
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | 15a |
| Upload Date | May 21 2025 05:15 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Precision Tower 7910 |
| Motherboard | Dell Inc. 0NK5PH |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1011
188.0 IPS |
|
|
Image Classification (HP)
|
100% |
957
178.0 IPS |
|
|
Image Classification (Q)
|
99% |
574
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2006
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
648
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1983
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
3449
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.3 IPS |
|
|
Object Detection (Q)
|
85% |
730
58.8 IPS |
|
|
Face Detection (SP)
|
100% |
2009
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1378
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1523
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1585
12.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1173
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1882
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
3476
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1099
40.7 IPS |
|
|
Text Classification (SP)
|
100% |
811
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
920
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
152
203.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1535
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (Q)
|
58% |
262
6.16 IPS |
