MacBook Air (2022)
Geekbench AI Score
3423
Single Precision Score
28287
Half Precision Score
31690
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 26 2026 09:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
14343
2.67 KIPS |
|
|
Image Classification (Q)
|
97% |
16198
3.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19554
317.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24425
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6073
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
104147
121.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106170
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
16046
1.28 KIPS |
|
|
Object Detection (Q)
|
89% |
17899
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
35091
417.0 IPS |
|
|
Face Detection (Q)
|
100% |
47394
563.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5272
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87447
673.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
112532
880.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17563
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
208283
267.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193629
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40534
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46242
1.71 KIPS |
|
|
Text Classification (SP)
|
99% |
4207
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6678
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6677
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4261
73.6 IPS |
