MacBook Air (2022)
Geekbench AI Score
3185
Single Precision Score
25730
Half Precision Score
28451
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1365
253.9 IPS |
|
|
Image Classification (HP)
|
100% |
14278
2.66 KIPS |
|
|
Image Classification (Q)
|
96% |
15890
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18314
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24193
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6282
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
86786
101.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104398
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
14955
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17538
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
2853
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
33044
392.6 IPS |
|
|
Face Detection (Q)
|
100% |
42539
505.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86518
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
101562
793.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16281
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204393
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
168044
216.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3555
131.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40270
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44566
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2154
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3697
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3539
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4313
74.5 IPS |
