MacBook Air (2022)
Geekbench AI Score
3356
Single Precision Score
27914
Half Precision Score
31244
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:51 AM |
| Views | 8 |
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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
13919
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
15715
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19463
315.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24086
390.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5840
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
106366
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106627
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1316
104.4 IPS |
|
|
Object Detection (HP)
|
99% |
15823
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
18196
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
34866
414.3 IPS |
|
|
Face Detection (Q)
|
100% |
46658
554.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5211
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
85939
662.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109516
856.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17351
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201486
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
187552
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41055
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48235
1.78 KIPS |
|
|
Text Classification (SP)
|
99% |
4060
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
92% |
6326
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3480
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4129
71.3 IPS |
