Dell Inc. Precision Tower 7810
Geekbench AI Score
5073
Single Precision Score
5014
Half Precision Score
4512
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 20 2025 09:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2680 v4 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0GWHMW |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (HP)
|
100% |
3282
610.3 IPS |
|
|
Image Classification (Q)
|
100% |
3106
577.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4349
70.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4458
72.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4516
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6598
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6718
7.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
8504
9.98 IPS |
|
|
Object Detection (SP)
|
100% |
3104
246.2 IPS |
|
|
Object Detection (HP)
|
100% |
3049
241.8 IPS |
|
|
Object Detection (Q)
|
87% |
3233
259.3 IPS |
|
|
Face Detection (SP)
|
100% |
8092
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (Q)
|
97% |
10145
121.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8074
62.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8286
63.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9314
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21282
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21418
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
24789
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4360
161.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4374
161.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4807
178.1 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (Q)
|
91% |
289
388.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2792
48.1 IPS |
