MacBook Air (2022)
Geekbench AI Score
3130
Single Precision Score
26635
Half Precision Score
28989
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:17 AM |
| 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 | 3.36 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1244
231.3 IPS |
|
|
Image Classification (HP)
|
100% |
12172
2.26 KIPS |
|
|
Image Classification (Q)
|
97% |
14444
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18669
302.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24415
395.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5342
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
93534
109.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
91838
107.6 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.7 IPS |
|
|
Object Detection (HP)
|
99% |
14728
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
17645
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2882
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
32245
383.1 IPS |
|
|
Face Detection (Q)
|
100% |
42160
501.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5222
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86975
670.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
101916
797.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17337
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
197205
253.5 IPS |
|
|
Style Transfer (Q)
|
96% |
182817
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3483
128.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41370
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47347
1.75 KIPS |
|
|
Text Classification (SP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6153
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3935
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3205
55.4 IPS |
