Dell Inc. XPS 13 9350
Geekbench AI Score
3012
Single Precision Score
20576
Half Precision Score
29777
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | sse |
| Upload Date | December 12 2024 10:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 03H2N0 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
12184
2.27 KIPS |
|
|
Image Classification (Q)
|
100% |
18569
3.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
11140
180.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13670
221.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3344
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
98690
115.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
197211
231.0 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.1 IPS |
|
|
Object Detection (HP)
|
100% |
14114
1.12 KIPS |
|
|
Object Detection (Q)
|
87% |
18872
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
5500
65.4 IPS |
|
|
Face Detection (HP)
|
100% |
23138
274.9 IPS |
|
|
Face Detection (Q)
|
100% |
46304
550.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4553
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
69333
534.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
106096
825.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9922
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
197142
253.4 IPS |
|
|
Style Transfer (Q)
|
98% |
296690
382.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27954
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55489
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2746
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2394
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2997
51.6 IPS |
