Acidanthera iMacPro1,1
Geekbench ML Score
3509
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:19 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acidanthera iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1856
347.3 IPS |
|
|
Image Classification (F16)
|
100% |
1922
359.7 IPS |
|
|
Image Classification (I8)
|
99% |
3704
693.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1599
26.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1660
27.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
2632
44.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5857
7.09 IPS |
|
|
Pose Estimation (F16)
|
100% |
5494
6.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
20691
25.1 IPS |
|
|
Object Detection (F32)
|
100% |
1841
137.4 IPS |
|
|
Object Detection (F16)
|
100% |
1775
132.6 IPS |
|
|
Object Detection (I8)
|
62% |
1995
148.9 IPS |
|
|
Face Detection (F32)
|
100% |
2874
34.2 IPS |
|
|
Face Detection (F16)
|
100% |
2906
34.6 IPS |
|
|
Face Detection (I8)
|
89% |
3958
47.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6613
51.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
7195
55.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
14079
109.2 IPS |
|
|
Style Transfer (F32)
|
100% |
14323
18.8 IPS |
|
|
Style Transfer (F16)
|
100% |
14366
18.9 IPS |
|
|
Style Transfer (I8)
|
98% |
18797
24.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3220
115.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3281
117.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4790
171.1 IPS |
|
|
Text Classification (F32)
|
100% |
1577
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
1601
2.30 KIPS |
|
|
Text Classification (I8)
|
98% |
528
758.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1870
34.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1927
35.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2722
50.1 IPS |
