MacBook Air (2022)
Geekbench AI Score
2513
Single Precision Score
4445
Half Precision Score
3655
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.13 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
938
174.4 IPS |
|
|
Image Classification (HP)
|
100% |
1655
307.8 IPS |
|
|
Image Classification (Q)
|
96% |
1032
192.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1654
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5138
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
11406
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9818
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1108
87.9 IPS |
|
|
Object Detection (HP)
|
97% |
2324
185.0 IPS |
|
|
Object Detection (Q)
|
94% |
1507
120.1 IPS |
|
|
Face Detection (SP)
|
100% |
2120
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (Q)
|
100% |
2777
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4215
32.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8201
63.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6431
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13396
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19932
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19522
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3251
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3855
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3044
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1978
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3424
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2663
45.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3723
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4646
80.3 IPS |
