Dell Inc. XPS 9315
Geekbench AI Score
1635
Single Precision Score
1612
Half Precision Score
1029
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 12:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Dell Inc. XPS 9315 |
| Motherboard | Dell Inc. 0WWXF6 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1230U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.1 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (Q)
|
100% |
593
110.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1190
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
755
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5962
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
6581
7.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
3201
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
789
62.6 IPS |
|
|
Object Detection (HP)
|
98% |
687
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
655
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
1575
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3188
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3524
27.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2223
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12889
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16510
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
8443
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1837
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
805
29.8 IPS |
|
|
Text Classification (SP)
|
100% |
545
727.2 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (Q)
|
97% |
283
379.6 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.67 IPS |
|
|
Machine Translation (Q)
|
70% |
284
5.33 IPS |
