Dell Inc. XPS 8920
Geekbench AI Score
1358
Single Precision Score
722
Half Precision Score
1560
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 05:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 8920 |
| Motherboard | Dell Inc. 0VHXCD |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
799
148.5 IPS |
|
|
Image Classification (HP)
|
100% |
279
52.0 IPS |
|
|
Image Classification (Q)
|
96% |
1330
248.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2165
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
1821
2.13 IPS |
|
|
Pose Estimation (Q)
|
87% |
4040
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
860
68.2 IPS |
|
|
Object Detection (HP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (Q)
|
86% |
895
72.0 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
96% |
2102
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2470
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1003
7.72 IPS |
|
|
Depth Estimation (Q)
|
77% |
2472
19.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5668
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4092
5.26 IPS |
|
|
Style Transfer (Q)
|
87% |
7163
9.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1511
56.0 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
458
610.9 IPS |
|
|
Text Classification (Q)
|
97% |
308
411.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1062
23.7 IPS |
