MacBook Air (2022)
Geekbench AI Score
3411
Single Precision Score
26793
Half Precision Score
29347
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | bkelly |
| Upload Date | August 04 2025 02:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14987
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15324
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19511
316.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24038
389.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6742
7.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
105835
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
103926
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
15869
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18236
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3008
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
33345
396.2 IPS |
|
|
Face Detection (Q)
|
100% |
38062
452.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86027
662.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
109743
857.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18336
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202754
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194810
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3962
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40670
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49536
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3708
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4297
74.3 IPS |
