MacBook Air (2022)
Geekbench AI Score
2131
Single Precision Score
18809
Half Precision Score
20470
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | May 18 2025 09:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
878
163.3 IPS |
|
|
Image Classification (HP)
|
100% |
11517
2.14 KIPS |
|
|
Image Classification (Q)
|
96% |
12648
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
14413
233.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
18029
292.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4217
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
68922
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
67229
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
615
48.8 IPS |
|
|
Object Detection (HP)
|
99% |
12170
968.1 IPS |
|
|
Object Detection (Q)
|
91% |
12320
984.4 IPS |
|
|
Face Detection (SP)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
21611
256.8 IPS |
|
|
Face Detection (Q)
|
100% |
27007
320.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3635
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
62690
483.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
75711
591.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11612
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
140633
180.8 IPS |
|
|
Style Transfer (Q)
|
96% |
135492
174.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29105
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33974
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2513
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3060
52.9 IPS |
