Dell Inc. Dell G16 7630
Geekbench ML Score
3513
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:53 PM |
| Views | 5 |
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% |
1912
357.7 IPS |
|
|
Image Classification (F16)
|
100% |
1988
371.9 IPS |
|
|
Image Classification (I8)
|
99% |
3597
673.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1642
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1664
27.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2551
42.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6187
7.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
6193
7.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
18576
22.5 IPS |
|
|
Object Detection (F32)
|
100% |
1885
140.7 IPS |
|
|
Object Detection (F16)
|
100% |
1877
140.2 IPS |
|
|
Object Detection (I8)
|
62% |
1976
147.5 IPS |
|
|
Face Detection (F32)
|
100% |
2849
33.9 IPS |
|
|
Face Detection (F16)
|
100% |
2824
33.6 IPS |
|
|
Face Detection (I8)
|
89% |
3693
43.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
7239
56.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7028
54.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13195
102.3 IPS |
|
|
Style Transfer (F32)
|
100% |
14406
18.9 IPS |
|
|
Style Transfer (F16)
|
100% |
14607
19.2 IPS |
|
|
Style Transfer (I8)
|
98% |
17024
22.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3471
123.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3495
124.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4717
168.4 IPS |
|
|
Text Classification (F32)
|
100% |
1556
2.24 KIPS |
|
|
Text Classification (F16)
|
100% |
1445
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
512
735.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1990
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1966
36.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2692
49.5 IPS |
