Apple Inc. iMac20,1
Geekbench ML Score
4250
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 20 2024 10:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMac20,1 |
| Motherboard | Apple Inc. Mac-CFF7D910A743CAAF |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.10 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro 5300 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1515
283.4 IPS |
|
|
Image Classification (F16)
|
100% |
1514
283.2 IPS |
|
|
Image Classification (I8)
|
100% |
1501
280.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
2702
45.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2662
44.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2391
39.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
39518
47.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
39440
47.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
33559
40.6 IPS |
|
|
Object Detection (F32)
|
100% |
1578
117.8 IPS |
|
|
Object Detection (F16)
|
100% |
1560
116.4 IPS |
|
|
Object Detection (I8)
|
63% |
1517
113.2 IPS |
|
|
Face Detection (F32)
|
100% |
5055
60.1 IPS |
|
|
Face Detection (F16)
|
100% |
5225
62.1 IPS |
|
|
Face Detection (I8)
|
89% |
4441
52.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10370
80.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10260
79.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
8476
65.7 IPS |
|
|
Style Transfer (F32)
|
100% |
40654
53.5 IPS |
|
|
Style Transfer (F16)
|
100% |
46938
61.7 IPS |
|
|
Style Transfer (I8)
|
98% |
40947
53.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5684
203.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7063
252.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5489
196.0 IPS |
|
|
Text Classification (F32)
|
100% |
518
744.2 IPS |
|
|
Text Classification (F16)
|
100% |
576
827.3 IPS |
|
|
Text Classification (I8)
|
98% |
450
646.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1558
28.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
69% |
1048
19.3 IPS |
