MacBook Air (2022)
Geekbench AI Score
4146
Single Precision Score
5785
Half Precision Score
5045
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 18 2025 12:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 1.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1173
218.2 IPS |
|
|
Image Classification (HP)
|
100% |
2875
534.7 IPS |
|
|
Image Classification (Q)
|
97% |
2839
529.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3587
58.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5058
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5046
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23669
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10372
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9195
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
3134
248.6 IPS |
|
|
Object Detection (HP)
|
100% |
3258
258.4 IPS |
|
|
Object Detection (Q)
|
91% |
2991
239.0 IPS |
|
|
Face Detection (SP)
|
100% |
5970
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
11466
136.2 IPS |
|
|
Face Detection (Q)
|
100% |
7704
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14133
108.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15014
115.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8184
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19156
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
45741
58.8 IPS |
|
|
Style Transfer (Q)
|
96% |
44325
57.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9543
352.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10190
376.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7963
294.1 IPS |
|
|
Text Classification (SP)
|
100% |
548
731.7 IPS |
|
|
Text Classification (HP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2363
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
569
9.80 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
98% |
516
8.92 IPS |
