MacBook Air (2022)
Geekbench AI Score
3395
Single Precision Score
26468
Half Precision Score
29337
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 14 2025 12:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
14376
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15465
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19386
314.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23435
379.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6699
7.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
104461
121.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104845
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
15616
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17774
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3065
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
32968
391.7 IPS |
|
|
Face Detection (Q)
|
100% |
41715
495.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5615
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88085
678.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
109532
855.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18121
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202625
260.5 IPS |
|
|
Style Transfer (Q)
|
96% |
192680
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4015
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41085
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51289
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3828
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4011
69.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4134
71.4 IPS |
