Dell Inc. XPS 15 9520
Geekbench AI Score
3270
Single Precision Score
3267
Half Precision Score
1993
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | adr1enbe4udou1n |
| Upload Date | December 24 2024 05:44 PM |
| Views | 4 |
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 15 9520 |
| Motherboard | Dell Inc. 0F6K9V |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900HK |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
1451
269.9 IPS |
|
|
Image Classification (Q)
|
100% |
1124
209.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2436
39.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1514
24.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12553
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12542
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
6232
7.30 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
98% |
1413
112.4 IPS |
|
|
Object Detection (Q)
|
86% |
1302
104.7 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
3767
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
2288
27.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6275
48.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
6793
52.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4360
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26907
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
33279
42.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16710
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3845
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4704
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1551
57.4 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (Q)
|
97% |
494
662.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (Q)
|
70% |
563
10.6 IPS |
