MacBook Air (2022)
Geekbench AI Score
3238
Single Precision Score
27488
Half Precision Score
31153
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 19 2026 10:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
13618
2.53 KIPS |
|
|
Image Classification (Q)
|
97% |
15984
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19361
313.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23955
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5823
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
106037
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105477
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1347
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
15642
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
17661
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
34561
410.7 IPS |
|
|
Face Detection (Q)
|
100% |
46162
548.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5148
39.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82728
637.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110352
863.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16123
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
201177
258.6 IPS |
|
|
Style Transfer (Q)
|
96% |
192895
248.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3580
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41376
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48807
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6119
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6367
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3868
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3954
68.3 IPS |
