Dell Inc. G7 7500
Geekbench ML Score
6758
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:35 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 | DirectML |
| Device | NVIDIA GeForce RTX 2070 with Max-Q Design |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3822
715.2 IPS |
|
|
Image Classification (F16)
|
100% |
3849
720.3 IPS |
|
|
Image Classification (I8)
|
100% |
3094
579.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
5405
90.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
4281
71.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3996
66.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
34008
41.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
45082
54.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
32080
38.8 IPS |
|
|
Object Detection (F32)
|
100% |
2178
162.6 IPS |
|
|
Object Detection (F16)
|
100% |
2287
170.8 IPS |
|
|
Object Detection (I8)
|
61% |
2315
172.8 IPS |
|
|
Face Detection (F32)
|
100% |
10838
128.9 IPS |
|
|
Face Detection (F16)
|
100% |
10840
128.9 IPS |
|
|
Face Detection (I8)
|
89% |
8626
102.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
15508
120.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
24979
193.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
18025
139.8 IPS |
|
|
Style Transfer (F32)
|
100% |
93356
122.8 IPS |
|
|
Style Transfer (F16)
|
100% |
62058
81.6 IPS |
|
|
Style Transfer (I8)
|
98% |
60602
79.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
13426
479.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10892
389.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6806
243.1 IPS |
|
|
Text Classification (F32)
|
100% |
644
925.9 IPS |
|
|
Text Classification (F16)
|
100% |
803
1.15 KIPS |
|
|
Text Classification (I8)
|
98% |
607
872.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1942
35.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1930
35.5 IPS |
|
|
Machine Translation (I8)
|
70% |
1130
20.8 IPS |
