Dell Inc. Dell G16 7630
Geekbench ML Score
3504
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:54 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1918
358.8 IPS |
|
|
Image Classification (F16)
|
100% |
2017
377.5 IPS |
|
|
Image Classification (I8)
|
99% |
3641
681.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1638
27.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1655
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2566
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6218
7.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
6140
7.44 IPS |
|
|
Pose Estimation (I8)
|
100% |
20132
24.4 IPS |
|
|
Object Detection (F32)
|
100% |
1663
124.1 IPS |
|
|
Object Detection (F16)
|
100% |
1704
127.2 IPS |
|
|
Object Detection (I8)
|
62% |
1933
144.3 IPS |
|
|
Face Detection (F32)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (F16)
|
100% |
2806
33.4 IPS |
|
|
Face Detection (I8)
|
89% |
3723
44.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
7242
56.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
7076
54.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13364
103.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14740
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
14575
19.2 IPS |
|
|
Style Transfer (I8)
|
98% |
16941
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3510
125.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3560
127.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4853
173.3 IPS |
|
|
Text Classification (F32)
|
100% |
1455
2.09 KIPS |
|
|
Text Classification (F16)
|
100% |
1561
2.24 KIPS |
|
|
Text Classification (I8)
|
98% |
504
725.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1953
35.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1944
35.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2695
49.6 IPS |
