Dell Inc. XPS 13 9350
Geekbench AI Score
2979
Single Precision Score
3009
Half Precision Score
7486
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 08:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1917
356.6 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.8 IPS |
|
|
Image Classification (Q)
|
100% |
5090
946.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4208
68.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3322
3.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3297
3.85 IPS |
|
|
Pose Estimation (Q)
|
96% |
12491
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
1868
148.2 IPS |
|
|
Object Detection (Q)
|
88% |
5190
416.0 IPS |
|
|
Face Detection (SP)
|
100% |
5557
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
5534
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
12666
150.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4691
36.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4731
36.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
13403
104.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9981
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10119
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
37331
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2163
79.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7603
281.6 IPS |
|
|
Text Classification (SP)
|
100% |
1864
2.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (Q)
|
92% |
3548
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2322
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2331
40.1 IPS |
