Dell Inc. Precision 7540
Geekbench AI Score
1748
Single Precision Score
1762
Half Precision Score
1189
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 22 2025 06:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-9980HK |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Dell Inc. Precision 7540 |
| Motherboard | Dell Inc. 0CYJDT |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9980HK |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 5.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
1430
265.9 IPS |
|
|
Image Classification (Q)
|
99% |
862
160.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1724
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
815
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2059
2.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2236
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (Q)
|
85% |
898
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2128
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1850
22.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2040
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2039
15.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1602
15.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2359
3.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2370
3.05 IPS |
|
|
Style Transfer (Q)
|
98% |
4354
5.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1432
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1203
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
534
717.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1927
33.2 IPS |
|
|
Machine Translation (Q)
|
58% |
485
11.4 IPS |
