MacBook Air (2022)
Geekbench AI Score
2272
Single Precision Score
19279
Half Precision Score
21052
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 11 2024 01:42 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
881
163.8 IPS |
|
|
Image Classification (HP)
|
100% |
10849
2.02 KIPS |
|
|
Image Classification (Q)
|
96% |
11953
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13229
214.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16184
262.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4176
4.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
67135
78.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66330
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
99% |
11649
926.7 IPS |
|
|
Object Detection (Q)
|
91% |
12010
959.7 IPS |
|
|
Face Detection (SP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
21985
261.2 IPS |
|
|
Face Detection (Q)
|
100% |
27077
321.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3726
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
61206
471.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
74159
579.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11675
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
138205
177.7 IPS |
|
|
Style Transfer (Q)
|
96% |
129555
167.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28787
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33835
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2385
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4917
84.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5287
91.4 IPS |
