MacBook Air (2022)
Geekbench AI Score
2220
Single Precision Score
18656
Half Precision Score
20242
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
841
156.4 IPS |
|
|
Image Classification (HP)
|
100% |
10959
2.04 KIPS |
|
|
Image Classification (Q)
|
96% |
12095
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14315
232.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
17595
285.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4137
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
67913
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66924
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
994
78.9 IPS |
|
|
Object Detection (HP)
|
99% |
11691
930.0 IPS |
|
|
Object Detection (Q)
|
91% |
12324
984.7 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
21870
259.9 IPS |
|
|
Face Detection (Q)
|
100% |
25580
303.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3515
27.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
61425
473.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74712
583.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11559
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
141003
181.3 IPS |
|
|
Style Transfer (Q)
|
96% |
131435
169.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29192
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34398
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
1552
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
2451
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2447
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3112
53.8 IPS |
