iMac (27-inch Late 2013)
Geekbench ML Score
179
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | December 11 2025 11:31 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| Model | iMac (27-inch Late 2013) |
| Model ID | iMac14,2 |
| Motherboard | Apple Inc. Mac-27ADBB7B4CEE8E61 iMac14,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4771 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 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 | 1600 MT/s |
| Type | DDR3 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
270
50.5 IPS |
|
|
Image Classification (F16)
|
0
|
||
|
Image Classification (I8)
|
0
|
||
|
Image Segmentation (F32)
|
100% |
202
3.38 IPS |
|
|
Image Segmentation (F16)
|
0
|
||
|
Image Segmentation (I8)
|
0
|
||
|
Pose Estimation (F32)
|
100% |
1632
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
474
0.57 IPS |
|
|
Pose Estimation (I8)
|
100% |
470
0.57 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
0
|
||
|
Object Detection (I8)
|
97% |
275
20.5 IPS |
|
|
Face Detection (F32)
|
100% |
643
7.65 IPS |
|
|
Face Detection (F16)
|
98% |
499
5.93 IPS |
|
|
Face Detection (I8)
|
97% |
504
5.99 IPS |
|
|
Depth Estimation (F32)
|
100% |
800
6.21 IPS |
|
|
Depth Estimation (F16)
|
100% |
683
5.29 IPS |
|
|
Depth Estimation (I8)
|
99% |
684
5.31 IPS |
|
|
Style Transfer (F32)
|
100% |
2258
2.97 IPS |
|
|
Style Transfer (F16)
|
100% |
1669
2.20 IPS |
|
|
Style Transfer (I8)
|
100% |
1680
2.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1094
39.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
399
14.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
399
14.2 IPS |
|
|
Text Classification (F32)
|
100% |
329
472.8 IPS |
|
|
Text Classification (F16)
|
100% |
326
468.5 IPS |
|
|
Text Classification (I8)
|
96% |
327
470.1 IPS |
|
|
Machine Translation (F32)
|
100% |
205
3.77 IPS |
|
|
Machine Translation (F16)
|
100% |
272
5.00 IPS |
|
|
Machine Translation (I8)
|
99% |
205
3.76 IPS |
