iMac (27-inch Retina Late 2015)
Geekbench ML Score
550
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | September 23 2024 05:02 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | iMac (27-inch Retina Late 2015) |
| Model ID | iMac17,1 |
| Motherboard | Apple Inc. Mac-B809C3757DA9BB8D iMac17,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 4.00 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 | 1867 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
327
61.3 IPS |
|
|
Image Classification (F16)
|
100% |
242
45.3 IPS |
|
|
Image Classification (I8)
|
99% |
241
45.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
240
4.01 IPS |
|
|
Image Segmentation (F16)
|
100% |
184
3.07 IPS |
|
|
Image Segmentation (I8)
|
100% |
185
3.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
1921
2.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
1562
1.89 IPS |
|
|
Pose Estimation (I8)
|
100% |
1565
1.90 IPS |
|
|
Object Detection (F32)
|
100% |
302
22.5 IPS |
|
|
Object Detection (F16)
|
100% |
252
18.8 IPS |
|
|
Object Detection (I8)
|
97% |
311
23.2 IPS |
|
|
Face Detection (F32)
|
100% |
713
8.47 IPS |
|
|
Face Detection (F16)
|
98% |
611
7.26 IPS |
|
|
Face Detection (I8)
|
97% |
579
6.88 IPS |
|
|
Depth Estimation (F32)
|
100% |
976
7.57 IPS |
|
|
Depth Estimation (F16)
|
100% |
832
6.45 IPS |
|
|
Depth Estimation (I8)
|
99% |
830
6.44 IPS |
|
|
Style Transfer (F32)
|
100% |
2692
3.54 IPS |
|
|
Style Transfer (F16)
|
100% |
2373
3.12 IPS |
|
|
Style Transfer (I8)
|
100% |
2410
3.17 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1260
45.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
471
16.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
492
17.6 IPS |
|
|
Text Classification (F32)
|
100% |
420
603.6 IPS |
|
|
Text Classification (F16)
|
100% |
404
581.0 IPS |
|
|
Text Classification (I8)
|
96% |
404
580.1 IPS |
|
|
Machine Translation (F32)
|
100% |
244
4.49 IPS |
|
|
Machine Translation (F16)
|
100% |
305
5.62 IPS |
|
|
Machine Translation (I8)
|
99% |
242
4.46 IPS |
