Dell Inc. G7 7500
Geekbench ML Score
1187
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:30 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Dell Inc. G7 7500 |
| Motherboard | Dell Inc. 0VF32T |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 12.0 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% |
776
145.1 IPS |
|
|
Image Classification (F16)
|
100% |
727
136.1 IPS |
|
|
Image Classification (I8)
|
97% |
1183
221.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
521
8.71 IPS |
|
|
Image Segmentation (F16)
|
100% |
531
8.87 IPS |
|
|
Image Segmentation (I8)
|
97% |
718
12.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1895
2.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
1716
2.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
3705
4.49 IPS |
|
|
Object Detection (F32)
|
100% |
574
42.8 IPS |
|
|
Object Detection (F16)
|
100% |
730
54.5 IPS |
|
|
Object Detection (I8)
|
60% |
664
49.6 IPS |
|
|
Face Detection (F32)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (F16)
|
100% |
1081
12.9 IPS |
|
|
Face Detection (I8)
|
87% |
1584
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2175
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2477
19.2 IPS |
|
|
Depth Estimation (I8)
|
74% |
2941
22.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4960
6.52 IPS |
|
|
Style Transfer (F16)
|
100% |
5134
6.75 IPS |
|
|
Style Transfer (I8)
|
85% |
5241
6.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
937
33.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
854
30.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1443
51.5 IPS |
|
|
Text Classification (F32)
|
100% |
690
991.3 IPS |
|
|
Text Classification (F16)
|
100% |
660
948.0 IPS |
|
|
Text Classification (I8)
|
94% |
212
304.6 IPS |
|
|
Machine Translation (F32)
|
100% |
774
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (I8)
|
67% |
1164
21.4 IPS |
