Dell Inc. XPS 9315
Geekbench AI Score
1222
Single Precision Score
484
Half Precision Score
2691
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 01 2025 12:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1230U |
| 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% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
129
24.0 IPS |
|
|
Image Classification (Q)
|
99% |
1799
335.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
240
3.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
552
0.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
3058
3.59 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.8 IPS |
|
|
Object Detection (Q)
|
86% |
1891
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.31 IPS |
|
|
Face Detection (Q)
|
97% |
5017
59.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3766
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
986
7.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
7183
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6693
8.60 IPS |
|
|
Style Transfer (HP)
|
100% |
4103
5.27 IPS |
|
|
Style Transfer (Q)
|
98% |
11269
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1331
49.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
880
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2185
80.9 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
366
488.9 IPS |
|
|
Text Classification (Q)
|
97% |
1106
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
580
9.99 IPS |
|
|
Machine Translation (HP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (Q)
|
65% |
1587
31.9 IPS |
