MacBook Air (13-inch Mid 2013)
Geekbench ML Score
109
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | June 07 2025 11:37 AM |
| Views | 5 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
137
25.7 IPS |
|
|
Image Classification (F16)
|
0
|
||
|
Image Classification (I8)
|
0
|
||
|
Image Segmentation (F32)
|
100% |
117
1.96 IPS |
|
|
Image Segmentation (F16)
|
0
|
||
|
Image Segmentation (I8)
|
0
|
||
|
Pose Estimation (F32)
|
100% |
961
1.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
184
0.22 IPS |
|
|
Pose Estimation (I8)
|
100% |
173
0.21 IPS |
|
|
Object Detection (F32)
|
100% |
140
10.5 IPS |
|
|
Object Detection (F16)
|
0
|
||
|
Object Detection (I8)
|
97% |
142
10.6 IPS |
|
|
Face Detection (F32)
|
100% |
393
4.67 IPS |
|
|
Face Detection (F16)
|
98% |
314
3.74 IPS |
|
|
Face Detection (I8)
|
97% |
311
3.70 IPS |
|
|
Depth Estimation (F32)
|
100% |
468
3.63 IPS |
|
|
Depth Estimation (F16)
|
100% |
340
2.64 IPS |
|
|
Depth Estimation (I8)
|
99% |
345
2.68 IPS |
|
|
Style Transfer (F32)
|
100% |
1123
1.48 IPS |
|
|
Style Transfer (F16)
|
100% |
684
0.90 IPS |
|
|
Style Transfer (I8)
|
100% |
699
0.92 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
565
20.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
184
6.57 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
184
6.56 IPS |
|
|
Text Classification (F32)
|
100% |
268
384.8 IPS |
|
|
Text Classification (F16)
|
100% |
270
388.0 IPS |
|
|
Text Classification (I8)
|
96% |
268
385.5 IPS |
|
|
Machine Translation (F32)
|
100% |
142
2.62 IPS |
|
|
Machine Translation (F16)
|
100% |
170
3.14 IPS |
|
|
Machine Translation (I8)
|
99% |
143
2.62 IPS |
