iMac (27-inch Late 2013)
Geekbench ML Score
760
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | December 11 2025 11:27 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
442
82.7 IPS |
|
|
Image Classification (F16)
|
100% |
422
79.0 IPS |
|
|
Image Classification (I8)
|
99% |
421
78.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (F16)
|
100% |
233
3.89 IPS |
|
|
Image Segmentation (I8)
|
100% |
231
3.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
1439
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
1435
1.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
1435
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
367
27.4 IPS |
|
|
Object Detection (F16)
|
100% |
353
26.3 IPS |
|
|
Object Detection (I8)
|
97% |
378
28.2 IPS |
|
|
Face Detection (F32)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (I8)
|
99% |
1273
15.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2518
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2534
19.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
2544
19.7 IPS |
|
|
Style Transfer (F32)
|
100% |
6351
8.35 IPS |
|
|
Style Transfer (F16)
|
100% |
5061
6.66 IPS |
|
|
Style Transfer (I8)
|
100% |
5063
6.66 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1201
42.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
994
35.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1034
36.9 IPS |
|
|
Text Classification (F32)
|
100% |
107
153.6 IPS |
|
|
Text Classification (F16)
|
100% |
199
286.3 IPS |
|
|
Text Classification (I8)
|
96% |
213
305.6 IPS |
|
|
Machine Translation (F32)
|
100% |
416
7.65 IPS |
|
|
Machine Translation (F16)
|
100% |
329
6.05 IPS |
|
|
Machine Translation (I8)
|
99% |
427
7.85 IPS |
