Dell Inc. OptiPlex 7060
Geekbench ML Score
2016
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | August 30 2024 04:08 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7060 |
| Motherboard | Dell Inc. 0C96W1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1340
250.8 IPS |
|
|
Image Classification (F16)
|
100% |
1350
252.7 IPS |
|
|
Image Classification (I8)
|
97% |
2012
376.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
845
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
844
14.1 IPS |
|
|
Image Segmentation (I8)
|
97% |
1455
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
3921
4.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
3934
4.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
8006
9.69 IPS |
|
|
Object Detection (F32)
|
100% |
1121
83.7 IPS |
|
|
Object Detection (F16)
|
100% |
1123
83.8 IPS |
|
|
Object Detection (I8)
|
60% |
1200
89.6 IPS |
|
|
Face Detection (F32)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (F16)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (I8)
|
87% |
2045
24.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3822
29.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3817
29.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
6766
52.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9641
12.7 IPS |
|
|
Style Transfer (F16)
|
100% |
9594
12.6 IPS |
|
|
Style Transfer (I8)
|
85% |
7815
10.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1909
68.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1943
69.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2369
84.6 IPS |
|
|
Text Classification (F32)
|
100% |
1352
1.94 KIPS |
|
|
Text Classification (F16)
|
100% |
1359
1.95 KIPS |
|
|
Text Classification (I8)
|
94% |
395
567.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1148
21.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1141
21.0 IPS |
|
|
Machine Translation (I8)
|
67% |
1446
26.6 IPS |
