MacBook Air (2022)
Geekbench AI Score
5687
Single Precision Score
6219
Half Precision Score
5490
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 24 2025 10:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
3318
617.0 IPS |
|
|
Image Classification (HP)
|
100% |
3176
590.7 IPS |
|
|
Image Classification (Q)
|
97% |
2595
484.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3689
59.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4262
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4245
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19860
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21301
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19876
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3074
243.8 IPS |
|
|
Object Detection (HP)
|
100% |
3237
256.8 IPS |
|
|
Object Detection (Q)
|
91% |
2628
210.0 IPS |
|
|
Face Detection (SP)
|
100% |
9318
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
10298
122.4 IPS |
|
|
Face Detection (Q)
|
100% |
7197
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13663
105.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14369
110.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12097
94.6 IPS |
|
|
Style Transfer (SP)
|
100% |
36133
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40269
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
37630
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7842
289.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8267
305.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6521
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.67 IPS |
|
|
Machine Translation (Q)
|
98% |
543
9.38 IPS |
