MacBook Air (2022)
Geekbench AI Score
3468
Single Precision Score
27379
Half Precision Score
30711
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 07:05 AM |
| Views | 8 |
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% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
15022
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15936
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19051
308.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23992
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102678
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104713
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15469
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17256
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
30964
367.9 IPS |
|
|
Face Detection (Q)
|
100% |
42660
506.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5687
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
86597
667.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109852
858.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18890
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201773
259.4 IPS |
|
|
Style Transfer (Q)
|
96% |
189607
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40143
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47460
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3754
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6387
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6861
118.6 IPS |
