MacBook Air (2022)
Geekbench AI Score
3367
Single Precision Score
27734
Half Precision Score
31420
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 08:44 AM |
| Views | 9 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
13257
2.47 KIPS |
|
|
Image Classification (Q)
|
97% |
15709
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19270
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24407
395.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6094
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
106226
123.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
105231
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
99% |
16199
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
18394
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
35194
418.2 IPS |
|
|
Face Detection (Q)
|
100% |
47549
565.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86386
665.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
110641
865.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17393
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203975
262.2 IPS |
|
|
Style Transfer (Q)
|
96% |
192111
247.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40893
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48520
1.79 KIPS |
|
|
Text Classification (SP)
|
99% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6171
8.24 KIPS |
|
|
Text Classification (Q)
|
92% |
6243
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4128
71.3 IPS |
