MacBook Air (2022)
Geekbench AI Score
3233
Single Precision Score
23546
Half Precision Score
25886
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | theodore927 |
| Upload Date | April 04 2025 07:21 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (HP)
|
100% |
14421
2.68 KIPS |
|
|
Image Classification (Q)
|
99% |
14811
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15760
255.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
15841
256.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6431
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
101964
119.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
101688
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
14795
1.18 KIPS |
|
|
Object Detection (Q)
|
91% |
17707
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2790
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
22219
264.0 IPS |
|
|
Face Detection (Q)
|
100% |
33028
392.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5253
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
75015
577.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
82787
640.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17624
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
154434
198.5 IPS |
|
|
Style Transfer (Q)
|
100% |
154820
199.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3876
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41450
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50850
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3886
67.2 IPS |
