Dell Inc. XPS 13 9350
Geekbench AI Score
2268
Single Precision Score
1243
Half Precision Score
3755
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 04PF4P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 256V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
99% |
2718
506.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
890
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2393
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2664
3.11 IPS |
|
|
Pose Estimation (Q)
|
95% |
11944
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1542
122.3 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
88% |
1587
127.2 IPS |
|
|
Face Detection (SP)
|
100% |
3076
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
3711
44.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4070
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1857
14.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
6225
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7858
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6535
8.40 IPS |
|
|
Style Transfer (Q)
|
98% |
15755
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3632
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
1217
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
631
842.8 IPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
733
12.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2167
48.3 IPS |
