Dell Inc. Dell G16 7630
Geekbench ML Score
12346
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 03:00 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 | 32.0 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% |
5923
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (I8)
|
100% |
4481
838.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
8536
142.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
8458
141.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7808
130.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
78567
95.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
78966
95.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
69644
84.3 IPS |
|
|
Object Detection (F32)
|
100% |
4612
344.3 IPS |
|
|
Object Detection (F16)
|
100% |
4640
346.4 IPS |
|
|
Object Detection (I8)
|
61% |
4474
334.0 IPS |
|
|
Face Detection (F32)
|
100% |
15318
182.1 IPS |
|
|
Face Detection (F16)
|
100% |
15283
181.7 IPS |
|
|
Face Detection (I8)
|
89% |
12722
151.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
32665
253.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
33629
260.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
28349
219.8 IPS |
|
|
Style Transfer (F32)
|
100% |
121294
159.6 IPS |
|
|
Style Transfer (F16)
|
100% |
123073
161.9 IPS |
|
|
Style Transfer (I8)
|
98% |
109789
144.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
21675
774.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22976
820.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
17607
628.8 IPS |
|
|
Text Classification (F32)
|
100% |
2650
3.81 KIPS |
|
|
Text Classification (F16)
|
100% |
2694
3.87 KIPS |
|
|
Text Classification (I8)
|
98% |
1431
2.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
2626
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2598
47.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1630
30.0 IPS |
