Dell Inc. XPS 15 9530
Geekbench AI Score
3178
Single Precision Score
1267
Half Precision Score
5871
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 06:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 15 9530 |
| Motherboard | Dell Inc. 0PHRDD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.4 IPS |
|
|
Image Classification (Q)
|
99% |
5152
960.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7199
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5163
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3359
3.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
15916
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2272
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
572
45.3 IPS |
|
|
Object Detection (Q)
|
86% |
4631
372.2 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
7133
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6220
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1721
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11454
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11486
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7732
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
16986
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1983
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4163
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1311
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
595
794.0 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1714
29.5 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2540
51.0 IPS |
