MacBook Air (2022)
Geekbench AI Score
3428
Single Precision Score
26376
Half Precision Score
29106
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
14420
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15627
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19476
315.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24156
391.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
101950
119.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104926
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15117
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17124
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33421
397.1 IPS |
|
|
Face Detection (Q)
|
100% |
38127
453.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5555
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86089
663.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
109977
859.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18573
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202381
260.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194555
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3928
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39666
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47343
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3782
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4405
76.1 IPS |
