Dell Inc. Dell G16 7620
Geekbench ML Score
9862
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 02 2024 05:19 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. Dell G16 7620 |
| Motherboard | Dell Inc. 0PM8FJ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-12700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 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 3060 Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4350
814.0 IPS |
|
|
Image Classification (F16)
|
100% |
4635
867.2 IPS |
|
|
Image Classification (I8)
|
100% |
3285
614.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
7367
123.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
7171
119.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
5630
94.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
63470
76.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
64687
78.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
52291
63.3 IPS |
|
|
Object Detection (F32)
|
100% |
4110
306.8 IPS |
|
|
Object Detection (F16)
|
100% |
3842
286.8 IPS |
|
|
Object Detection (I8)
|
63% |
3486
260.2 IPS |
|
|
Face Detection (F32)
|
100% |
12779
151.9 IPS |
|
|
Face Detection (F16)
|
100% |
13030
154.9 IPS |
|
|
Face Detection (I8)
|
89% |
9929
118.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
28613
221.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
29134
225.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
21693
168.2 IPS |
|
|
Style Transfer (F32)
|
100% |
112044
147.4 IPS |
|
|
Style Transfer (F16)
|
100% |
104983
138.1 IPS |
|
|
Style Transfer (I8)
|
98% |
85771
112.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17001
607.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16536
590.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11337
404.9 IPS |
|
|
Text Classification (F32)
|
100% |
1924
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
1916
2.75 KIPS |
|
|
Text Classification (I8)
|
98% |
988
1.42 KIPS |
|
|
Machine Translation (F32)
|
100% |
2516
46.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2540
46.8 IPS |
|
|
Machine Translation (I8)
|
70% |
1267
23.3 IPS |
