MacBook Air (2022)
Geekbench AI Score
3386
Single Precision Score
28008
Half Precision Score
30727
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 01:05 PM |
| Views | 12 |
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 | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1265
235.3 IPS |
|
|
Image Classification (HP)
|
100% |
14085
2.62 KIPS |
|
|
Image Classification (Q)
|
97% |
15234
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19593
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24204
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6028
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
106852
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106369
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1374
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
15745
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
16141
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
34601
411.1 IPS |
|
|
Face Detection (Q)
|
100% |
46575
553.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5206
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86602
667.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109782
858.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17385
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205118
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188664
243.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3616
133.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41933
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48383
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4080
5.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6197
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6242
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4006
69.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4069
70.3 IPS |
