MacBook Air (2022)
Geekbench AI Score
2190
Single Precision Score
18809
Half Precision Score
20478
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
782
145.4 IPS |
|
|
Image Classification (HP)
|
100% |
11148
2.07 KIPS |
|
|
Image Classification (Q)
|
96% |
12031
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14318
232.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
18055
292.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4155
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
67371
78.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66392
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.8 IPS |
|
|
Object Detection (HP)
|
99% |
11737
933.6 IPS |
|
|
Object Detection (Q)
|
91% |
12201
974.9 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
22603
268.6 IPS |
|
|
Face Detection (Q)
|
100% |
28107
334.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3529
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61212
471.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
74357
581.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11455
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
141612
182.0 IPS |
|
|
Style Transfer (Q)
|
96% |
132645
171.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2589
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29362
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34387
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
1512
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2521
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3107
53.7 IPS |
