MacBook Air (13-inch, Mid 2013) MacBook Air (13-inch Mid 2013)
Geekbench AI Score
394
Single Precision Score
373
Half Precision Score
213
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Littens4Life |
| Upload Date | April 02 2026 03:34 AM |
| Views | 2 |
| Notes | Tracker: 59947802 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Intel HD Graphics 5000 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.5 (Build 24G624) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
318
59.2 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
96% |
80
15.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
80
1.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
992
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
989
1.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
560
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (Q)
|
93% |
80
6.37 IPS |
|
|
Face Detection (SP)
|
100% |
811
9.64 IPS |
|
|
Face Detection (HP)
|
100% |
785
9.32 IPS |
|
|
Face Detection (Q)
|
100% |
117
1.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
532
4.10 IPS |
|
|
Depth Estimation (Q)
|
85% |
512
4.00 IPS |
|
|
Style Transfer (SP)
|
100% |
960
1.23 IPS |
|
|
Style Transfer (HP)
|
100% |
956
1.23 IPS |
|
|
Style Transfer (Q)
|
96% |
936
1.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
253
9.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
250
9.25 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
243
8.96 IPS |
|
|
Text Classification (SP)
|
71% |
257
371.1 IPS |
|
|
Text Classification (HP)
|
71% |
226
326.3 IPS |
|
|
Text Classification (Q)
|
71% |
213
308.4 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
98% |
232
4.01 IPS |
