MacBook Air (2022)
Geekbench AI Score
4143
Single Precision Score
4835
Half Precision Score
4241
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wbednarski |
| Upload Date | March 21 2025 11:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 2.66 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2461
457.7 IPS |
|
|
Image Classification (HP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (Q)
|
97% |
1893
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2981
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15432
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16988
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15297
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
2544
201.8 IPS |
|
|
Object Detection (Q)
|
91% |
1953
156.1 IPS |
|
|
Face Detection (SP)
|
100% |
6170
73.3 IPS |
|
|
Face Detection (HP)
|
100% |
7249
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
4926
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10520
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11155
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8176
63.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23850
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29544
38.0 IPS |
|
|
Style Transfer (Q)
|
96% |
26706
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6737
248.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5654
208.8 IPS |
|
|
Text Classification (SP)
|
100% |
2024
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
3617
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
401
6.91 IPS |
|
|
Machine Translation (HP)
|
100% |
402
6.92 IPS |
|
|
Machine Translation (Q)
|
98% |
443
7.66 IPS |
