MacBook Air (2022)
Geekbench AI Score
3449
Single Precision Score
23394
Half Precision Score
25557
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
14635
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15403
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9828
159.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10823
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
102988
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105356
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
99% |
15486
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17325
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3134
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
33927
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
42939
510.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5649
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86594
667.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106899
835.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18671
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201567
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193893
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40256
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48561
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3757
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3583
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2390
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2413
41.7 IPS |
