iMac (27-inch Retina Late 2015)
Geekbench ML Score
560
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 21 2024 12:48 AM |
| 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% |
328
61.5 IPS |
|
|
Image Classification (F16)
|
100% |
245
45.9 IPS |
|
|
Image Classification (I8)
|
99% |
244
45.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
239
4.00 IPS |
|
|
Image Segmentation (F16)
|
100% |
182
3.04 IPS |
|
|
Image Segmentation (I8)
|
100% |
183
3.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
1907
2.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
1607
1.95 IPS |
|
|
Pose Estimation (I8)
|
100% |
1616
1.96 IPS |
|
|
Object Detection (F32)
|
100% |
312
23.3 IPS |
|
|
Object Detection (F16)
|
100% |
257
19.2 IPS |
|
|
Object Detection (I8)
|
97% |
307
22.9 IPS |
|
|
Face Detection (F32)
|
100% |
720
8.56 IPS |
|
|
Face Detection (F16)
|
98% |
600
7.14 IPS |
|
|
Face Detection (I8)
|
97% |
596
7.08 IPS |
|
|
Depth Estimation (F32)
|
100% |
1021
7.92 IPS |
|
|
Depth Estimation (F16)
|
100% |
894
6.94 IPS |
|
|
Depth Estimation (I8)
|
99% |
885
6.87 IPS |
|
|
Style Transfer (F32)
|
100% |
2671
3.51 IPS |
|
|
Style Transfer (F16)
|
100% |
2446
3.22 IPS |
|
|
Style Transfer (I8)
|
100% |
2473
3.25 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1176
42.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
570
20.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
588
21.0 IPS |
|
|
Text Classification (F32)
|
100% |
412
591.8 IPS |
|
|
Text Classification (F16)
|
100% |
382
548.9 IPS |
|
|
Text Classification (I8)
|
96% |
390
560.7 IPS |
|
|
Machine Translation (F32)
|
100% |
248
4.56 IPS |
|
|
Machine Translation (F16)
|
100% |
309
5.69 IPS |
|
|
Machine Translation (I8)
|
99% |
244
4.49 IPS |
