MacBook Air (2022)
Geekbench AI Score
3347
Single Precision Score
27715
Half Precision Score
30712
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MR__ROBOTO |
| Upload Date | February 20 2026 07:20 AM |
| 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 | 3.45 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.8 IPS |
|
|
Image Classification (HP)
|
100% |
13847
2.58 KIPS |
|
|
Image Classification (Q)
|
97% |
15563
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19297
312.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24089
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6059
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
104913
122.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104760
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
99% |
15763
1.25 KIPS |
|
|
Object Detection (Q)
|
89% |
17402
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
34415
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
46268
549.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5186
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86206
664.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109690
858.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17342
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
200798
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
188268
243.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3628
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40816
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43727
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
6357
8.49 KIPS |
|
|
Text Classification (Q)
|
92% |
6395
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4089
70.7 IPS |
