MacBook Air (2022)
Geekbench AI Score
3438
Single Precision Score
26868
Half Precision Score
29836
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cadillacthewolf |
| Upload Date | May 24 2025 01:17 PM |
| Views | 5 |
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 | 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
14749
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
15833
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19467
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24134
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6821
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106519
124.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105082
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
16051
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
18190
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3068
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
31489
374.2 IPS |
|
|
Face Detection (Q)
|
100% |
39371
467.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5537
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87979
677.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110373
862.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18625
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204599
263.0 IPS |
|
|
Style Transfer (Q)
|
96% |
196023
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4017
148.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41205
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50704
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4531
78.3 IPS |
