MacBook Air (2022)
Geekbench AI Score
6262
Single Precision Score
7328
Half Precision Score
6227
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:33 PM |
| Views | 1 |
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 | 3.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3290
611.9 IPS |
|
|
Image Classification (HP)
|
100% |
3575
664.9 IPS |
|
|
Image Classification (Q)
|
97% |
2224
415.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3504
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4332
70.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4905
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
22624
26.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25140
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23971
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2783
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
2980
236.4 IPS |
|
|
Object Detection (Q)
|
91% |
2698
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
9747
115.8 IPS |
|
|
Face Detection (HP)
|
100% |
11357
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
7552
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15102
116.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17704
136.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14480
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40460
52.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47092
60.5 IPS |
|
|
Style Transfer (Q)
|
96% |
42705
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9817
362.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10190
376.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8219
303.5 IPS |
|
|
Text Classification (SP)
|
100% |
1976
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3300
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1106
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
