MacBook Air (2022)
Geekbench AI Score
1283
Single Precision Score
1319
Half Precision Score
742
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Sara-Adel-Alotaibi |
| Upload Date | October 19 2025 02:48 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
97% |
252
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
324
5.25 IPS |
|
|
Pose Estimation (SP)
|
100% |
3739
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (Q)
|
95% |
3769
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
818
64.9 IPS |
|
|
Object Detection (HP)
|
98% |
779
62.0 IPS |
|
|
Object Detection (Q)
|
94% |
314
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
100% |
402
4.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
2493
19.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
2510
19.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
1126
8.79 IPS |
|
|
Style Transfer (SP)
|
100% |
6773
8.71 IPS |
|
|
Style Transfer (HP)
|
100% |
7788
10.0 IPS |
|
|
Style Transfer (Q)
|
96% |
4659
6.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1489
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
677
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
228
303.8 IPS |
|
|
Text Classification (HP)
|
100% |
256
341.1 IPS |
|
|
Text Classification (Q)
|
93% |
279
373.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1177
20.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1325
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1318
22.8 IPS |
