MacBook Air (2022)
Geekbench AI Score
3457
Single Precision Score
26117
Half Precision Score
28784
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 18 2025 02:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
14700
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
14486
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19026
308.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23549
381.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
101830
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104699
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15047
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17267
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
32874
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
42054
499.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85943
662.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106401
831.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18611
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200674
258.0 IPS |
|
|
Style Transfer (Q)
|
96% |
188389
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4027
148.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39227
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47350
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3775
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3758
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
72.9 IPS |
