MacBook Air (2022)
Geekbench AI Score
6023
Single Precision Score
6787
Half Precision Score
5998
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hsalsherif |
| Upload Date | December 17 2025 11:01 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.32 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3230
600.6 IPS |
|
|
Image Classification (HP)
|
100% |
3251
604.6 IPS |
|
|
Image Classification (Q)
|
97% |
2650
494.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3345
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4099
66.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4141
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19013
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20630
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19397
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
3118
247.3 IPS |
|
|
Object Detection (HP)
|
100% |
3163
250.9 IPS |
|
|
Object Detection (Q)
|
91% |
2637
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
8710
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
9914
117.8 IPS |
|
|
Face Detection (Q)
|
100% |
7055
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13230
101.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
14273
110.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
12139
94.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35471
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39669
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
37036
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7954
293.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8393
309.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6573
242.7 IPS |
|
|
Text Classification (SP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1342
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1377
23.8 IPS |
