MacBook Air (2022)
Geekbench AI Score
3458
Single Precision Score
26833
Half Precision Score
29756
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 26 2025 12:55 PM |
| Views | 4 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
14646
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15933
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19759
320.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24252
393.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6832
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
104860
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106621
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15784
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17543
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3070
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
33821
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
42842
509.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5568
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86922
669.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
109750
857.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
204499
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
192503
248.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39764
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48042
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3732
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4474
77.3 IPS |
