iMac (27-inch Retina Mid 2017)
Geekbench ML Score
2836
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | June 17 2024 04:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| Model | iMac (27-inch Retina Mid 2017) |
| Model ID | iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 24.00 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% |
2260
422.9 IPS |
|
|
Image Classification (F16)
|
100% |
2318
433.7 IPS |
|
|
Image Classification (I8)
|
99% |
2378
445.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
6.17 IPS |
|
|
Image Segmentation (F16)
|
100% |
377
6.30 IPS |
|
|
Image Segmentation (I8)
|
100% |
378
6.31 IPS |
|
|
Pose Estimation (F32)
|
100% |
17056
20.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
18230
22.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
18499
22.4 IPS |
|
|
Object Detection (F32)
|
100% |
1856
138.6 IPS |
|
|
Object Detection (F16)
|
100% |
1853
138.3 IPS |
|
|
Object Detection (I8)
|
97% |
1759
131.3 IPS |
|
|
Face Detection (F32)
|
100% |
7973
94.8 IPS |
|
|
Face Detection (F16)
|
97% |
7993
95.0 IPS |
|
|
Face Detection (I8)
|
96% |
8415
100.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10192
79.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10654
82.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10257
79.5 IPS |
|
|
Style Transfer (F32)
|
100% |
32112
42.2 IPS |
|
|
Style Transfer (F16)
|
100% |
32029
42.1 IPS |
|
|
Style Transfer (I8)
|
100% |
32369
42.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4491
160.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5312
189.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3758
134.2 IPS |
|
|
Text Classification (F32)
|
100% |
319
459.1 IPS |
|
|
Text Classification (F16)
|
100% |
339
487.8 IPS |
|
|
Text Classification (I8)
|
96% |
345
495.3 IPS |
|
|
Machine Translation (F32)
|
100% |
307
5.65 IPS |
|
|
Machine Translation (F16)
|
100% |
268
4.93 IPS |
|
|
Machine Translation (I8)
|
99% |
306
5.62 IPS |
