MacBook Air (2022)
Geekbench AI Score
3428
Single Precision Score
26668
Half Precision Score
29487
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | z1phos |
| Upload Date | April 26 2025 12:43 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
15192
2.83 KIPS |
|
|
Image Classification (Q)
|
96% |
15771
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19534
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24130
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6813
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105221
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106788
125.2 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
15195
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17290
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3056
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33538
398.5 IPS |
|
|
Face Detection (Q)
|
100% |
42502
505.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5523
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87216
671.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108052
844.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18530
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203709
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194071
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3923
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38970
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47264
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3804
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4414
76.3 IPS |
