Dell Inc. Dell G16 7630
Geekbench ML Score
12499
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 03:01 PM |
| Views | 3 |
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 | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5421
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5787
1.08 KIPS |
|
|
Image Classification (I8)
|
100% |
4977
931.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
8462
141.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
8302
138.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
7862
131.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
77308
93.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
77762
94.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
69989
84.8 IPS |
|
|
Object Detection (F32)
|
100% |
4705
351.3 IPS |
|
|
Object Detection (F16)
|
100% |
4835
361.0 IPS |
|
|
Object Detection (I8)
|
61% |
4436
331.2 IPS |
|
|
Face Detection (F32)
|
100% |
15125
179.8 IPS |
|
|
Face Detection (F16)
|
100% |
15477
184.0 IPS |
|
|
Face Detection (I8)
|
89% |
12693
150.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
33832
262.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
32947
255.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
28731
222.8 IPS |
|
|
Style Transfer (F32)
|
100% |
129259
170.0 IPS |
|
|
Style Transfer (F16)
|
100% |
124931
164.3 IPS |
|
|
Style Transfer (I8)
|
98% |
113007
148.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24200
864.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24539
876.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18240
651.4 IPS |
|
|
Text Classification (F32)
|
100% |
2551
3.67 KIPS |
|
|
Text Classification (F16)
|
100% |
2542
3.65 KIPS |
|
|
Text Classification (I8)
|
98% |
1415
2.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
2752
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2758
50.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1683
31.0 IPS |
