MacBook Air (M2, 2022) MacBook Air (2022)
Geekbench AI Score
3442
Single Precision Score
26124
Half Precision Score
28803
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | blackowl |
| Upload Date | February 05 2025 03:57 AM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
14463
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15248
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19325
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23517
381.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6809
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104900
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
103671
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15643
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17231
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
31883
378.8 IPS |
|
|
Face Detection (Q)
|
100% |
41266
490.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5735
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86290
664.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
107383
839.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18558
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200037
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
190068
245.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39354
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47340
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3714
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3983
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4144
71.6 IPS |
