Dell Inc. Precision 7520
Geekbench AI Score
2210
Single Precision Score
2214
Half Precision Score
3269
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | noderaser |
| Upload Date | January 02 2025 11:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7820HQ CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise 2016 LTSB (64-bit) |
| Model | Dell Inc. Precision 7520 |
| Motherboard | Dell Inc. 0P1FNM |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.9 IPS |
|
|
Image Classification (HP)
|
100% |
1356
252.2 IPS |
|
|
Image Classification (Q)
|
100% |
2133
396.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1407
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1384
22.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2263
36.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2670
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2675
3.12 IPS |
|
|
Pose Estimation (Q)
|
94% |
4877
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (Q)
|
87% |
2049
164.3 IPS |
|
|
Face Detection (SP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
2781
33.0 IPS |
|
|
Face Detection (Q)
|
97% |
5191
61.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3508
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3463
26.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
5487
43.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7766
9.98 IPS |
|
|
Style Transfer (HP)
|
100% |
7722
9.93 IPS |
|
|
Style Transfer (Q)
|
98% |
13914
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1602
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1591
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2876
106.5 IPS |
|
|
Text Classification (SP)
|
100% |
1637
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1642
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2209
38.1 IPS |
