Dell Inc. XPS 9320
Geekbench AI Score
2130
Single Precision Score
485
Half Precision Score
2963
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | DrCereus |
| Upload Date | August 30 2024 08:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1360P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 9320 |
| Motherboard | Dell Inc. 07608N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (Q)
|
99% |
2626
489.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (Q)
|
98% |
2095
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2755
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1828
2.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
10058
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (Q)
|
88% |
1550
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2852
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
97% |
3152
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3563
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
540
4.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
6602
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7637
9.82 IPS |
|
|
Style Transfer (HP)
|
100% |
4951
6.36 IPS |
|
|
Style Transfer (Q)
|
98% |
14879
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1792
66.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2955
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
1505
2.01 KIPS |
|
|
Text Classification (HP)
|
100% |
599
798.9 IPS |
|
|
Text Classification (Q)
|
97% |
486
651.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
60% |
1369
30.5 IPS |
