iMac (27-inch Retina Mid 2017)
Geekbench ML Score
674
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | BruceG |
| Upload Date | August 18 2024 06:00 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.9 (Build 22G830) |
| 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 | 32.00 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% |
440
82.3 IPS |
|
|
Image Classification (F16)
|
100% |
343
64.2 IPS |
|
|
Image Classification (I8)
|
99% |
315
58.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
290
4.84 IPS |
|
|
Image Segmentation (F16)
|
100% |
283
4.73 IPS |
|
|
Image Segmentation (I8)
|
100% |
283
4.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
2254
2.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2216
2.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
2335
2.83 IPS |
|
|
Object Detection (F32)
|
100% |
375
28.0 IPS |
|
|
Object Detection (F16)
|
100% |
300
22.4 IPS |
|
|
Object Detection (I8)
|
97% |
443
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
783
9.31 IPS |
|
|
Face Detection (F16)
|
100% |
761
9.05 IPS |
|
|
Face Detection (I8)
|
99% |
731
8.69 IPS |
|
|
Depth Estimation (F32)
|
100% |
935
7.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
800
6.21 IPS |
|
|
Depth Estimation (I8)
|
99% |
917
7.12 IPS |
|
|
Style Transfer (F32)
|
100% |
3619
4.76 IPS |
|
|
Style Transfer (F16)
|
100% |
3323
4.37 IPS |
|
|
Style Transfer (I8)
|
100% |
3383
4.45 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1141
40.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1178
42.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1179
42.1 IPS |
|
|
Text Classification (F32)
|
100% |
225
322.7 IPS |
|
|
Text Classification (F16)
|
100% |
115
165.6 IPS |
|
|
Text Classification (I8)
|
96% |
157
226.0 IPS |
|
|
Machine Translation (F32)
|
100% |
569
10.5 IPS |
|
|
Machine Translation (F16)
|
100% |
453
8.34 IPS |
|
|
Machine Translation (I8)
|
99% |
583
10.7 IPS |
