MacBook Air (2022)
Geekbench AI Score
3285
Single Precision Score
26029
Half Precision Score
28488
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | March 10 2026 08:44 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1284
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
14566
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15408
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19580
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24061
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
103658
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106555
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1411
111.9 IPS |
|
|
Object Detection (HP)
|
99% |
15798
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17203
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34072
404.8 IPS |
|
|
Face Detection (Q)
|
100% |
43820
520.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5338
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87800
676.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109390
854.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18038
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204482
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195626
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3729
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39213
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42135
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3906
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3269
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3358
58.0 IPS |
