MacBook Air (2022)
Geekbench AI Score
3389
Single Precision Score
22236
Half Precision Score
24588
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 02:27 AM |
| Views | 3 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.6 IPS |
|
|
Image Classification (HP)
|
100% |
13402
2.49 KIPS |
|
|
Image Classification (Q)
|
96% |
15259
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9555
154.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10820
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6830
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
102382
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
102586
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
14701
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
16443
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
28808
342.3 IPS |
|
|
Face Detection (Q)
|
100% |
38298
455.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
82181
633.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
100770
787.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18224
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
195258
251.0 IPS |
|
|
Style Transfer (Q)
|
96% |
188639
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4043
149.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38079
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45539
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2213
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3763
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2345
40.5 IPS |
