MacBook Air (2022)
Geekbench AI Score
6479
Single Precision Score
7156
Half Precision Score
6747
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | gergoszatmari |
| Upload Date | January 24 2026 03:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
3315
616.5 IPS |
|
|
Image Classification (HP)
|
100% |
3156
587.0 IPS |
|
|
Image Classification (Q)
|
96% |
2986
557.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4890
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4960
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4747
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19973
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22010
25.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
21379
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3191
253.1 IPS |
|
|
Object Detection (HP)
|
100% |
3112
246.9 IPS |
|
|
Object Detection (Q)
|
92% |
2962
236.5 IPS |
|
|
Face Detection (SP)
|
100% |
9400
111.7 IPS |
|
|
Face Detection (HP)
|
100% |
10469
124.4 IPS |
|
|
Face Detection (Q)
|
100% |
8784
104.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13811
106.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15406
118.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13924
108.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36137
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40732
52.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39595
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7918
292.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8535
315.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7385
272.7 IPS |
|
|
Text Classification (SP)
|
100% |
2359
3.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3935
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1549
26.8 IPS |
