iMac (21.5-inch Retina Mid 2017)
Geekbench ML Score
1628
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 23 2024 04:39 AM |
| Views | 3 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1142
213.7 IPS |
|
|
Image Classification (F16)
|
100% |
1174
219.7 IPS |
|
|
Image Classification (I8)
|
99% |
1174
219.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
306
5.10 IPS |
|
|
Image Segmentation (F16)
|
100% |
314
5.25 IPS |
|
|
Image Segmentation (I8)
|
100% |
314
5.25 IPS |
|
|
Pose Estimation (F32)
|
100% |
6279
7.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
6744
8.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
6750
8.17 IPS |
|
|
Object Detection (F32)
|
100% |
1112
83.0 IPS |
|
|
Object Detection (F16)
|
100% |
1130
84.4 IPS |
|
|
Object Detection (I8)
|
97% |
1099
82.1 IPS |
|
|
Face Detection (F32)
|
100% |
3791
45.1 IPS |
|
|
Face Detection (F16)
|
97% |
4126
49.1 IPS |
|
|
Face Detection (I8)
|
96% |
4178
49.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5440
42.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5760
44.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
5778
44.8 IPS |
|
|
Style Transfer (F32)
|
100% |
12406
16.3 IPS |
|
|
Style Transfer (F16)
|
100% |
13219
17.4 IPS |
|
|
Style Transfer (I8)
|
100% |
13235
17.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2279
81.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2427
86.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2415
86.2 IPS |
|
|
Text Classification (F32)
|
100% |
266
381.9 IPS |
|
|
Text Classification (F16)
|
100% |
289
415.9 IPS |
|
|
Text Classification (I8)
|
96% |
290
416.9 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (F16)
|
100% |
243
4.47 IPS |
|
|
Machine Translation (I8)
|
99% |
255
4.70 IPS |
