MacBook Air (2022)
Geekbench AI Score
3189
Single Precision Score
27694
Half Precision Score
30800
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 21 2026 06:00 AM |
| Views | 7 |
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 | 3.35 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% |
14176
2.64 KIPS |
|
|
Image Classification (Q)
|
97% |
15254
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18255
295.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23214
376.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5631
6.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
105572
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
104944
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
15789
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17118
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
34320
407.8 IPS |
|
|
Face Detection (Q)
|
100% |
43443
516.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4924
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86662
667.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111458
871.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15820
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
196070
252.1 IPS |
|
|
Style Transfer (Q)
|
96% |
192009
247.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3651
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42167
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50108
1.85 KIPS |
|
|
Text Classification (SP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
6389
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6362
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4075
70.4 IPS |
