Dell Inc. Dell G16 7630
Geekbench ML Score
768
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 03:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell G16 7630 |
| Motherboard | Dell Inc. 0F072Y |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13650HX |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 64.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
354
66.2 IPS |
|
|
Image Classification (F16)
|
100% |
352
66.0 IPS |
|
|
Image Classification (I8)
|
100% |
291
54.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
503
8.40 IPS |
|
|
Image Segmentation (F16)
|
100% |
505
8.44 IPS |
|
|
Image Segmentation (I8)
|
98% |
396
6.62 IPS |
|
|
Pose Estimation (F32)
|
100% |
2643
3.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
2636
3.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
1861
2.25 IPS |
|
|
Object Detection (F32)
|
100% |
413
30.8 IPS |
|
|
Object Detection (F16)
|
100% |
365
27.2 IPS |
|
|
Object Detection (I8)
|
54% |
332
24.8 IPS |
|
|
Face Detection (F32)
|
100% |
751
8.92 IPS |
|
|
Face Detection (F16)
|
100% |
751
8.93 IPS |
|
|
Face Detection (I8)
|
89% |
544
6.47 IPS |
|
|
Depth Estimation (F32)
|
100% |
1554
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
1210
9.38 IPS |
|
|
Style Transfer (F32)
|
100% |
5219
6.87 IPS |
|
|
Style Transfer (F16)
|
100% |
5264
6.92 IPS |
|
|
Style Transfer (I8)
|
98% |
4104
5.40 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
921
32.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
907
32.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
524
18.7 IPS |
|
|
Text Classification (F32)
|
100% |
458
658.6 IPS |
|
|
Text Classification (F16)
|
100% |
472
678.4 IPS |
|
|
Text Classification (I8)
|
98% |
236
339.7 IPS |
|
|
Machine Translation (F32)
|
100% |
501
9.21 IPS |
|
|
Machine Translation (F16)
|
100% |
501
9.22 IPS |
|
|
Machine Translation (I8)
|
70% |
282
5.20 IPS |
