Dell Inc. XPS 13 9350
Geekbench ML Score
3184
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 20 2025 06:49 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. XPS 13 9350 |
| Motherboard | Dell Inc. 0XPT8R |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 258V |
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 48.0 KB x 4 |
| L2 Cache | 2.50 MB x 1 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1448
270.9 IPS |
|
|
Image Classification (F16)
|
100% |
1814
339.4 IPS |
|
|
Image Classification (I8)
|
99% |
2468
461.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1378
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2491
41.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4418
5.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
4567
5.53 IPS |
|
|
Pose Estimation (I8)
|
100% |
13227
16.0 IPS |
|
|
Object Detection (F32)
|
100% |
1587
118.5 IPS |
|
|
Object Detection (F16)
|
100% |
1813
135.3 IPS |
|
|
Object Detection (I8)
|
62% |
1712
127.8 IPS |
|
|
Face Detection (F32)
|
100% |
3319
39.5 IPS |
|
|
Face Detection (F16)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (I8)
|
89% |
4239
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5820
45.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
5785
44.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13174
102.2 IPS |
|
|
Style Transfer (F32)
|
100% |
12215
16.1 IPS |
|
|
Style Transfer (F16)
|
100% |
9729
12.8 IPS |
|
|
Style Transfer (I8)
|
98% |
21646
28.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2694
96.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2725
97.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4448
158.9 IPS |
|
|
Text Classification (F32)
|
100% |
1084
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1309
1.88 KIPS |
|
|
Text Classification (I8)
|
98% |
1127
1.62 KIPS |
|
|
Machine Translation (F32)
|
100% |
1986
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1902
35.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2649
48.7 IPS |
