iMac (21.5-inch Retina Mid 2017)
Geekbench ML Score
1634
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 23 2024 04:43 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1095
204.9 IPS |
|
|
Image Classification (F16)
|
100% |
1138
213.0 IPS |
|
|
Image Classification (I8)
|
99% |
1154
215.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
280
4.68 IPS |
|
|
Image Segmentation (F16)
|
100% |
296
4.94 IPS |
|
|
Image Segmentation (I8)
|
100% |
302
5.04 IPS |
|
|
Pose Estimation (F32)
|
100% |
6305
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
6683
8.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
6784
8.22 IPS |
|
|
Object Detection (F32)
|
100% |
1095
81.7 IPS |
|
|
Object Detection (F16)
|
100% |
1125
84.0 IPS |
|
|
Object Detection (I8)
|
97% |
1097
81.9 IPS |
|
|
Face Detection (F32)
|
100% |
3775
44.9 IPS |
|
|
Face Detection (F16)
|
97% |
4163
49.5 IPS |
|
|
Face Detection (I8)
|
96% |
4155
49.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5445
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5746
44.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
5766
44.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12358
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13241
17.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13232
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2293
81.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2471
88.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2453
87.6 IPS |
|
|
Text Classification (F32)
|
100% |
302
434.7 IPS |
|
|
Text Classification (F16)
|
100% |
327
470.4 IPS |
|
|
Text Classification (I8)
|
96% |
326
468.3 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
257
4.72 IPS |
