MacBook Air (2022)
Geekbench AI Score
3475
Single Precision Score
26201
Half Precision Score
29184
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | slava-zaxapov |
| Upload Date | March 23 2025 06:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1402
260.8 IPS |
|
|
Image Classification (HP)
|
100% |
14353
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15635
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19065
309.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23833
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102676
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104727
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1550
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
15296
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17219
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3125
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32786
389.6 IPS |
|
|
Face Detection (Q)
|
100% |
42128
500.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5774
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86411
665.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106696
833.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18629
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202167
259.9 IPS |
|
|
Style Transfer (Q)
|
96% |
190505
245.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4032
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39626
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47418
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3805
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3613
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4072
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4317
74.6 IPS |
