MacBook Air (2022)
Geekbench AI Score
3453
Single Precision Score
27798
Half Precision Score
31175
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JulioSanchezD |
| Upload Date | January 21 2025 03:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
14999
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15740
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19132
310.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23834
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6901
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
103710
121.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104972
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15502
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
18379
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33688
400.3 IPS |
|
|
Face Detection (Q)
|
100% |
42943
510.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5680
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87262
672.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108441
847.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18745
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203354
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
192313
248.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41067
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49265
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3736
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3774
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6513
112.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7197
124.4 IPS |
