MacBook Air (2022)
Geekbench AI Score
2058
Single Precision Score
11904
Half Precision Score
13273
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 06 2025 02:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (HP)
|
100% |
7418
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
7526
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5021
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8260
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5904
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
88264
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
87564
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.5 IPS |
|
|
Object Detection (HP)
|
99% |
8498
676.0 IPS |
|
|
Object Detection (Q)
|
93% |
8818
703.6 IPS |
|
|
Face Detection (SP)
|
100% |
2041
24.3 IPS |
|
|
Face Detection (HP)
|
100% |
11367
135.1 IPS |
|
|
Face Detection (Q)
|
100% |
12836
152.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3667
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
49792
383.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
59936
468.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10429
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
137485
176.7 IPS |
|
|
Style Transfer (Q)
|
95% |
126617
163.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19457
718.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25069
925.7 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.1 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.1 IPS |
|
|
Text Classification (Q)
|
93% |
614
824.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2359
40.8 IPS |
