MacBook Air (2022)
Geekbench AI Score
3334
Single Precision Score
27687
Half Precision Score
31064
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 02:11 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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 | 3.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
13900
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15884
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19427
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24261
393.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5752
6.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
105786
123.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104470
122.4 IPS |
|
|
Object Detection (SP)
|
100% |
1336
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
15748
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17625
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2760
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
34744
412.8 IPS |
|
|
Face Detection (Q)
|
100% |
45491
540.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5247
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82774
637.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
111115
869.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17374
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205358
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
191202
246.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41886
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48831
1.80 KIPS |
|
|
Text Classification (SP)
|
99% |
4069
5.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6215
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6036
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3459
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4140
71.5 IPS |
