MacBook Air (2022)
Geekbench AI Score
2164
Single Precision Score
12210
Half Precision Score
13510
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | PM974 |
| Upload Date | December 23 2024 08:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
7411
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
7728
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
720
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5015
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8248
133.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
88391
103.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
90144
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
1249
99.1 IPS |
|
|
Object Detection (HP)
|
99% |
8492
675.5 IPS |
|
|
Object Detection (Q)
|
93% |
8944
713.7 IPS |
|
|
Face Detection (SP)
|
100% |
2087
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
11388
135.3 IPS |
|
|
Face Detection (Q)
|
100% |
12960
154.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3882
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50351
387.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
60383
471.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10407
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
140896
181.1 IPS |
|
|
Style Transfer (Q)
|
95% |
125538
162.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3041
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19675
726.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25966
958.8 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
691
922.5 IPS |
|
|
Text Classification (Q)
|
93% |
640
859.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2405
41.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2416
41.8 IPS |
