MacBook Air (2022)
Geekbench AI Score
3449
Single Precision Score
21060
Half Precision Score
22975
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 01:41 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
14108
2.62 KIPS |
|
|
Image Classification (Q)
|
99% |
14338
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9250
149.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
9305
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
98017
114.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
100409
117.8 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
14527
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
17019
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
23100
274.5 IPS |
|
|
Face Detection (Q)
|
100% |
35452
421.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5672
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
74960
577.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
81885
633.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
155635
200.1 IPS |
|
|
Style Transfer (Q)
|
100% |
155627
200.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4054
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39734
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
45783
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
2209
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3603
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3674
4.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2394
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2366
40.9 IPS |
