Dell Inc. Dell G16 7630
Geekbench ML Score
3439
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 20 2024 02:57 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 | 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1871
350.1 IPS |
|
|
Image Classification (F16)
|
100% |
1971
368.9 IPS |
|
|
Image Classification (I8)
|
99% |
3640
681.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1652
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1644
27.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2561
42.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6366
7.71 IPS |
|
|
Pose Estimation (F16)
|
100% |
6344
7.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
21366
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1867
139.4 IPS |
|
|
Object Detection (F16)
|
100% |
1874
139.9 IPS |
|
|
Object Detection (I8)
|
62% |
1964
146.6 IPS |
|
|
Face Detection (F32)
|
100% |
2770
32.9 IPS |
|
|
Face Detection (F16)
|
100% |
2846
33.8 IPS |
|
|
Face Detection (I8)
|
89% |
3716
44.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7365
57.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7270
56.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
12507
97.0 IPS |
|
|
Style Transfer (F32)
|
100% |
14762
19.4 IPS |
|
|
Style Transfer (F16)
|
100% |
13988
18.4 IPS |
|
|
Style Transfer (I8)
|
98% |
16973
22.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3595
128.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3494
124.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4172
149.0 IPS |
|
|
Text Classification (F32)
|
100% |
1419
2.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1431
2.06 KIPS |
|
|
Text Classification (I8)
|
98% |
430
618.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1384
25.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1867
34.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2758
50.8 IPS |
