MacBook Air (2022)
Geekbench AI Score
3014
Single Precision Score
24209
Half Precision Score
26228
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wbednarski |
| Upload Date | March 21 2025 11:37 AM |
| Views | 3 |
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 | 3.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
14640
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15652
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15220
246.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
17691
286.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3875
4.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
78073
91.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
85774
100.5 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
14932
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17189
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
2950
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
32877
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
37983
451.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
86480
666.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
83115
649.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15864
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
186566
239.8 IPS |
|
|
Style Transfer (Q)
|
96% |
177895
229.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38444
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48495
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3585
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2831
48.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3485
60.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
