iMacPro1,1
Geekbench ML Score
2190
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 16 2024 12:27 PM |
| Views | 2 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1376
257.5 IPS |
|
|
Image Classification (F16)
|
100% |
1556
291.1 IPS |
|
|
Image Classification (I8)
|
99% |
1563
292.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
527
8.80 IPS |
|
|
Image Segmentation (F16)
|
100% |
574
9.59 IPS |
|
|
Image Segmentation (I8)
|
100% |
565
9.44 IPS |
|
|
Pose Estimation (F32)
|
100% |
6085
7.37 IPS |
|
|
Pose Estimation (F16)
|
100% |
7118
8.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
7110
8.61 IPS |
|
|
Object Detection (F32)
|
100% |
1349
100.7 IPS |
|
|
Object Detection (F16)
|
100% |
1456
108.7 IPS |
|
|
Object Detection (I8)
|
97% |
1379
103.0 IPS |
|
|
Face Detection (F32)
|
100% |
4093
48.7 IPS |
|
|
Face Detection (F16)
|
97% |
4953
58.9 IPS |
|
|
Face Detection (I8)
|
96% |
4907
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5475
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6596
51.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
5998
46.5 IPS |
|
|
Style Transfer (F32)
|
100% |
13005
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13593
17.9 IPS |
|
|
Style Transfer (I8)
|
100% |
13535
17.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2623
93.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3535
126.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3412
121.8 IPS |
|
|
Text Classification (F32)
|
100% |
378
542.9 IPS |
|
|
Text Classification (F16)
|
100% |
385
553.5 IPS |
|
|
Text Classification (I8)
|
96% |
296
426.0 IPS |
|
|
Machine Translation (F32)
|
100% |
782
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
800
14.7 IPS |
|
|
Machine Translation (I8)
|
99% |
784
14.4 IPS |
