MacBook Air (2022)
Geekbench AI Score
6206
Single Precision Score
6893
Half Precision Score
6515
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Anthonh2317 |
| Upload Date | April 29 2025 07:07 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053j) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3242
602.9 IPS |
|
|
Image Classification (HP)
|
100% |
3158
587.4 IPS |
|
|
Image Classification (Q)
|
96% |
2913
544.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4804
77.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4890
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4667
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19698
23.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21965
25.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
21268
24.9 IPS |
|
|
Object Detection (SP)
|
100% |
3007
238.5 IPS |
|
|
Object Detection (HP)
|
100% |
3212
254.8 IPS |
|
|
Object Detection (Q)
|
92% |
2846
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
9219
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
10340
122.9 IPS |
|
|
Face Detection (Q)
|
100% |
8276
98.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13580
104.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15244
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13941
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35943
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39528
50.8 IPS |
|
|
Style Transfer (Q)
|
96% |
38557
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7397
273.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8459
312.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7149
264.0 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3761
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1122
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1409
24.3 IPS |
