MacBook Air (2022)
Geekbench AI Score
3423
Single Precision Score
26786
Half Precision Score
29584
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | grouchyfluff |
| Upload Date | December 29 2025 10:23 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
14854
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15729
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1479
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19643
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24081
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105613
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106461
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
15941
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17431
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33341
396.2 IPS |
|
|
Face Detection (Q)
|
100% |
42461
504.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5518
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87404
673.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108012
844.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18575
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203355
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
190070
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3930
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39427
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47952
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4406
76.1 IPS |
