MacBook Air (2022)
Geekbench AI Score
3517
Single Precision Score
27126
Half Precision Score
30004
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 17 2025 04:57 PM |
| Views | 4 |
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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
15272
2.84 KIPS |
|
|
Image Classification (Q)
|
96% |
15824
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19648
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24114
390.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105781
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104755
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1571
124.6 IPS |
|
|
Object Detection (HP)
|
99% |
15876
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
18246
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
3179
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
33701
400.4 IPS |
|
|
Face Detection (Q)
|
100% |
41995
499.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88945
685.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112397
878.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18806
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
203486
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195255
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4120
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42750
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52279
1.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3646
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4189
72.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4348
75.1 IPS |
