iMac (27-inch Retina Mid 2017)
Geekbench ML Score
672
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | August 16 2024 09:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
343
64.1 IPS |
|
|
Image Classification (F16)
|
100% |
326
60.9 IPS |
|
|
Image Classification (I8)
|
99% |
325
60.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
214
3.58 IPS |
|
|
Image Segmentation (F16)
|
100% |
214
3.57 IPS |
|
|
Image Segmentation (I8)
|
100% |
215
3.59 IPS |
|
|
Pose Estimation (F32)
|
100% |
2113
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
1987
2.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
2097
2.54 IPS |
|
|
Object Detection (F32)
|
100% |
370
27.6 IPS |
|
|
Object Detection (F16)
|
100% |
318
23.7 IPS |
|
|
Object Detection (I8)
|
97% |
371
27.7 IPS |
|
|
Face Detection (F32)
|
100% |
530
6.30 IPS |
|
|
Face Detection (F16)
|
100% |
528
6.28 IPS |
|
|
Face Detection (I8)
|
99% |
527
6.27 IPS |
|
|
Depth Estimation (F32)
|
100% |
1064
8.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
981
7.60 IPS |
|
|
Depth Estimation (I8)
|
99% |
920
7.13 IPS |
|
|
Style Transfer (F32)
|
100% |
3479
4.58 IPS |
|
|
Style Transfer (F16)
|
100% |
3356
4.41 IPS |
|
|
Style Transfer (I8)
|
100% |
3372
4.44 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1279
45.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1232
44.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1241
44.3 IPS |
|
|
Text Classification (F32)
|
100% |
514
738.0 IPS |
|
|
Text Classification (F16)
|
100% |
385
553.8 IPS |
|
|
Text Classification (I8)
|
96% |
387
556.4 IPS |
|
|
Machine Translation (F32)
|
100% |
416
7.66 IPS |
|
|
Machine Translation (F16)
|
100% |
347
6.38 IPS |
|
|
Machine Translation (I8)
|
99% |
416
7.66 IPS |
