MacBook Air (2022)
Geekbench AI Score
3436
Single Precision Score
27814
Half Precision Score
31044
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 06:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
14421
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15757
2.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1522
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19059
309.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23902
387.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6811
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
104949
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105651
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
15567
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17371
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33922
403.1 IPS |
|
|
Face Detection (Q)
|
100% |
42858
509.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86625
667.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110067
860.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18533
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
203814
262.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192672
248.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4005
147.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39938
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47936
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6849
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7289
126.0 IPS |
