MacBook Air (2022)
Geekbench AI Score
3431
Single Precision Score
26702
Half Precision Score
29286
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | StatueMarki |
| Upload Date | April 29 2025 08:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
14647
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15585
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19641
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24076
390.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6806
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
106907
124.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
106519
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15170
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17626
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
33430
397.2 IPS |
|
|
Face Detection (Q)
|
100% |
38798
461.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5531
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86295
664.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107670
841.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18583
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204102
262.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194599
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3947
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39752
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47454
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4398
76.0 IPS |
