iMac (21.5-inch Retina Mid 2017)
Geekbench ML Score
611
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 23 2024 04:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| Model | iMac (21.5-inch Retina Mid 2017) |
| Model ID | iMac18,2 |
| Motherboard | Apple Inc. Mac-77F17D7DA9285301 iMac18,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.40 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 | 8.00 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% |
304
56.9 IPS |
|
|
Image Classification (F16)
|
100% |
293
54.9 IPS |
|
|
Image Classification (I8)
|
99% |
291
54.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
201
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
201
3.36 IPS |
|
|
Image Segmentation (I8)
|
100% |
201
3.36 IPS |
|
|
Pose Estimation (F32)
|
100% |
1799
2.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
1983
2.40 IPS |
|
|
Pose Estimation (I8)
|
100% |
1946
2.36 IPS |
|
|
Object Detection (F32)
|
100% |
333
24.9 IPS |
|
|
Object Detection (F16)
|
100% |
282
21.0 IPS |
|
|
Object Detection (I8)
|
97% |
334
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
499
5.93 IPS |
|
|
Face Detection (F16)
|
100% |
515
6.12 IPS |
|
|
Face Detection (I8)
|
99% |
512
6.09 IPS |
|
|
Depth Estimation (F32)
|
100% |
952
7.38 IPS |
|
|
Depth Estimation (F16)
|
100% |
844
6.55 IPS |
|
|
Depth Estimation (I8)
|
99% |
838
6.50 IPS |
|
|
Style Transfer (F32)
|
100% |
3185
4.19 IPS |
|
|
Style Transfer (F16)
|
100% |
3022
3.97 IPS |
|
|
Style Transfer (I8)
|
100% |
3031
3.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1081
38.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1147
41.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1154
41.2 IPS |
|
|
Text Classification (F32)
|
100% |
450
647.4 IPS |
|
|
Text Classification (F16)
|
100% |
342
491.3 IPS |
|
|
Text Classification (I8)
|
96% |
340
488.1 IPS |
|
|
Machine Translation (F32)
|
100% |
384
7.07 IPS |
|
|
Machine Translation (F16)
|
100% |
294
5.41 IPS |
|
|
Machine Translation (I8)
|
99% |
392
7.21 IPS |
