MacBook Air (2022)
Geekbench AI Score
6354
Single Precision Score
7100
Half Precision Score
6617
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3334
620.1 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.4 IPS |
|
|
Image Classification (Q)
|
96% |
2973
555.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4794
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4696
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19799
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21979
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21321
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3236
256.7 IPS |
|
|
Object Detection (HP)
|
100% |
3243
257.2 IPS |
|
|
Object Detection (Q)
|
92% |
2906
231.9 IPS |
|
|
Face Detection (SP)
|
100% |
9353
111.1 IPS |
|
|
Face Detection (HP)
|
100% |
10463
124.3 IPS |
|
|
Face Detection (Q)
|
100% |
8670
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13788
106.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15213
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
13912
108.7 IPS |
|
|
Style Transfer (SP)
|
100% |
36141
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40771
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39643
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7835
289.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8521
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7266
268.3 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3875
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1336
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1383
23.9 IPS |
