iMac (27-inch Retina Mid 2017)
Geekbench ML Score
3127
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 02 2024 12:32 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2418
452.5 IPS |
|
|
Image Classification (F16)
|
100% |
2560
479.1 IPS |
|
|
Image Classification (I8)
|
99% |
2552
477.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
406
6.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
412
6.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
410
6.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
16802
20.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
18343
22.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
18375
22.3 IPS |
|
|
Object Detection (F32)
|
100% |
1857
138.7 IPS |
|
|
Object Detection (F16)
|
100% |
1980
147.8 IPS |
|
|
Object Detection (I8)
|
97% |
1929
144.0 IPS |
|
|
Face Detection (F32)
|
100% |
7777
92.5 IPS |
|
|
Face Detection (F16)
|
98% |
8600
102.3 IPS |
|
|
Face Detection (I8)
|
97% |
8646
102.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10265
79.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10686
82.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
9590
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
31682
41.7 IPS |
|
|
Style Transfer (F16)
|
100% |
35648
46.9 IPS |
|
|
Style Transfer (I8)
|
100% |
34929
45.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5998
214.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6605
235.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6114
218.4 IPS |
|
|
Text Classification (F32)
|
100% |
394
566.5 IPS |
|
|
Text Classification (F16)
|
100% |
445
640.0 IPS |
|
|
Text Classification (I8)
|
96% |
386
554.8 IPS |
|
|
Machine Translation (F32)
|
100% |
352
6.47 IPS |
|
|
Machine Translation (F16)
|
100% |
336
6.19 IPS |
|
|
Machine Translation (I8)
|
99% |
353
6.49 IPS |
