MacBook Air (2022)
Geekbench AI Score
3263
Single Precision Score
26900
Half Precision Score
29433
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 10:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
1296
241.0 IPS |
|
|
Image Classification (HP)
|
100% |
15087
2.81 KIPS |
|
|
Image Classification (Q)
|
96% |
15701
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19816
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24130
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6294
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
101770
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105188
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1382
109.6 IPS |
|
|
Object Detection (HP)
|
99% |
15661
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17992
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
33660
399.9 IPS |
|
|
Face Detection (Q)
|
100% |
42869
509.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87884
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
109502
855.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17484
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
205346
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196231
253.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43318
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46205
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3539
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4115
71.1 IPS |
