MacBook Air (13-inch Mid 2013)
Geekbench ML Score
366
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | June 07 2025 11:52 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Air (13-inch Mid 2013) |
| Model ID | MacBookAir6,2 |
| Motherboard | Apple Inc. Mac-7DF21CB3ED6977E5 MacBookAir6,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4650U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| L1 Instruction Cache | 32.0 KB x 2 |
| L1 Data Cache | 32.0 KB x 2 |
| L2 Cache | 256 KB x 2 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 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% |
313
58.6 IPS |
|
|
Image Classification (F16)
|
100% |
286
53.5 IPS |
|
|
Image Classification (I8)
|
99% |
285
53.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
125
2.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
123
2.05 IPS |
|
|
Image Segmentation (I8)
|
100% |
127
2.12 IPS |
|
|
Pose Estimation (F32)
|
100% |
958
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
956
1.16 IPS |
|
|
Pose Estimation (I8)
|
100% |
945
1.14 IPS |
|
|
Object Detection (F32)
|
100% |
276
20.6 IPS |
|
|
Object Detection (F16)
|
100% |
274
20.4 IPS |
|
|
Object Detection (I8)
|
97% |
276
20.6 IPS |
|
|
Face Detection (F32)
|
100% |
812
9.66 IPS |
|
|
Face Detection (F16)
|
100% |
775
9.22 IPS |
|
|
Face Detection (I8)
|
99% |
773
9.19 IPS |
|
|
Depth Estimation (F32)
|
100% |
551
4.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
529
4.10 IPS |
|
|
Depth Estimation (I8)
|
99% |
529
4.10 IPS |
|
|
Style Transfer (F32)
|
100% |
895
1.18 IPS |
|
|
Style Transfer (F16)
|
100% |
938
1.23 IPS |
|
|
Style Transfer (I8)
|
100% |
938
1.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
260
9.29 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
258
9.21 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
258
9.21 IPS |
|
|
Text Classification (F32)
|
64% |
205
294.4 IPS |
|
|
Text Classification (F16)
|
64% |
188
270.0 IPS |
|
|
Text Classification (I8)
|
64% |
164
235.5 IPS |
|
|
Machine Translation (F32)
|
100% |
254
4.67 IPS |
|
|
Machine Translation (F16)
|
100% |
215
3.96 IPS |
|
|
Machine Translation (I8)
|
99% |
261
4.80 IPS |
