MacBook Air (2022)
Geekbench AI Score
5813
Single Precision Score
6389
Half Precision Score
5623
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3316
616.7 IPS |
|
|
Image Classification (HP)
|
100% |
3215
597.8 IPS |
|
|
Image Classification (Q)
|
97% |
2601
485.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4267
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4258
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19861
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21323
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19862
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (HP)
|
100% |
3232
256.3 IPS |
|
|
Object Detection (Q)
|
91% |
2648
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
9373
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10288
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
7104
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13650
105.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14520
111.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12164
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36142
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40241
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37741
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7832
289.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
240.8 IPS |
|
|
Text Classification (SP)
|
100% |
2244
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3762
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
712
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
