MacBook Air M2 MacBook Air (2022)
Geekbench AI Score
5641
Single Precision Score
6289
Half Precision Score
5619
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | MaybeHS |
| Upload Date | November 09 2024 06:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3287
611.3 IPS |
|
|
Image Classification (HP)
|
100% |
3149
585.6 IPS |
|
|
Image Classification (Q)
|
97% |
2584
482.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4258
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4234
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19885
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21290
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19882
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3055
242.3 IPS |
|
|
Object Detection (HP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (Q)
|
91% |
2637
210.7 IPS |
|
|
Face Detection (SP)
|
100% |
9375
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10261
121.9 IPS |
|
|
Face Detection (Q)
|
100% |
7102
84.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13630
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14393
110.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
11955
93.4 IPS |
|
|
Style Transfer (SP)
|
100% |
36128
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40144
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37562
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7886
291.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8408
310.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6487
239.5 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3725
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
98% |
711
12.3 IPS |
