Dell Inc. Dell G16 7630
Geekbench ML Score
12439
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:59 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 | 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 | NVIDIA GeForce RTX 4060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5164
966.3 IPS |
|
|
Image Classification (F16)
|
100% |
5870
1.10 KIPS |
|
|
Image Classification (I8)
|
100% |
4499
841.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
8275
138.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
8279
138.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
7865
131.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
78070
94.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
76260
92.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
70485
85.4 IPS |
|
|
Object Detection (F32)
|
100% |
4713
351.8 IPS |
|
|
Object Detection (F16)
|
100% |
4758
355.2 IPS |
|
|
Object Detection (I8)
|
61% |
4351
324.8 IPS |
|
|
Face Detection (F32)
|
100% |
14705
174.8 IPS |
|
|
Face Detection (F16)
|
100% |
14889
177.0 IPS |
|
|
Face Detection (I8)
|
89% |
12738
151.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
32049
248.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34348
266.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
29979
232.5 IPS |
|
|
Style Transfer (F32)
|
100% |
128633
169.2 IPS |
|
|
Style Transfer (F16)
|
100% |
124139
163.3 IPS |
|
|
Style Transfer (I8)
|
98% |
113006
148.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24749
883.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24683
881.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
18600
664.3 IPS |
|
|
Text Classification (F32)
|
100% |
2670
3.84 KIPS |
|
|
Text Classification (F16)
|
100% |
2557
3.68 KIPS |
|
|
Text Classification (I8)
|
98% |
1423
2.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
2747
50.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2750
50.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1675
30.8 IPS |
