iMacPro1,1
Geekbench ML Score
636
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 12:21 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D56) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 512 KB x 6 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
437
81.7 IPS |
|
|
Image Classification (F16)
|
100% |
336
62.8 IPS |
|
|
Image Classification (I8)
|
99% |
301
56.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
285
4.77 IPS |
|
|
Image Segmentation (F16)
|
100% |
276
4.60 IPS |
|
|
Image Segmentation (I8)
|
100% |
267
4.46 IPS |
|
|
Pose Estimation (F32)
|
100% |
2523
3.06 IPS |
|
|
Pose Estimation (F16)
|
100% |
2604
3.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
2500
3.03 IPS |
|
|
Object Detection (F32)
|
100% |
329
24.5 IPS |
|
|
Object Detection (F16)
|
100% |
296
22.1 IPS |
|
|
Object Detection (I8)
|
97% |
339
25.3 IPS |
|
|
Face Detection (F32)
|
100% |
748
8.89 IPS |
|
|
Face Detection (F16)
|
100% |
703
8.36 IPS |
|
|
Face Detection (I8)
|
99% |
679
8.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
1015
7.87 IPS |
|
|
Depth Estimation (F16)
|
100% |
858
6.65 IPS |
|
|
Depth Estimation (I8)
|
99% |
868
6.73 IPS |
|
|
Style Transfer (F32)
|
100% |
4518
5.94 IPS |
|
|
Style Transfer (F16)
|
100% |
4449
5.85 IPS |
|
|
Style Transfer (I8)
|
100% |
4426
5.82 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1286
45.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1215
43.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1239
44.3 IPS |
|
|
Text Classification (F32)
|
100% |
233
334.3 IPS |
|
|
Text Classification (F16)
|
100% |
122
174.8 IPS |
|
|
Text Classification (I8)
|
96% |
121
174.6 IPS |
|
|
Machine Translation (F32)
|
100% |
302
5.55 IPS |
|
|
Machine Translation (F16)
|
100% |
181
3.32 IPS |
|
|
Machine Translation (I8)
|
99% |
292
5.37 IPS |
