MacBook Air (2022)
Geekbench AI Score
3120
Single Precision Score
26710
Half Precision Score
28907
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 24 2026 08:07 PM |
| 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 | 3.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1074
199.8 IPS |
|
|
Image Classification (HP)
|
100% |
11807
2.20 KIPS |
|
|
Image Classification (Q)
|
97% |
13539
2.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18564
300.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22897
371.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5911
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
100354
117.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
86467
101.3 IPS |
|
|
Object Detection (SP)
|
100% |
1226
97.2 IPS |
|
|
Object Detection (HP)
|
99% |
15537
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
15043
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
2667
31.7 IPS |
|
|
Face Detection (HP)
|
100% |
32480
385.9 IPS |
|
|
Face Detection (Q)
|
100% |
42286
502.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4747
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
84078
647.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107684
842.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15532
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
197224
253.5 IPS |
|
|
Style Transfer (Q)
|
96% |
182258
235.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3313
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41307
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49890
1.84 KIPS |
|
|
Text Classification (SP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6280
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3304
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3872
66.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4009
69.3 IPS |
