MacBook Air (2022)
Geekbench AI Score
5829
Single Precision Score
6364
Half Precision Score
5578
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:53 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
3353
623.6 IPS |
|
|
Image Classification (HP)
|
100% |
3208
596.6 IPS |
|
|
Image Classification (Q)
|
97% |
2611
487.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4263
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4258
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19879
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
21296
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19900
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3271
259.5 IPS |
|
|
Object Detection (HP)
|
100% |
3285
260.6 IPS |
|
|
Object Detection (Q)
|
91% |
2650
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
9375
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10526
125.1 IPS |
|
|
Face Detection (Q)
|
100% |
7217
85.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13696
105.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14433
111.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12378
96.8 IPS |
|
|
Style Transfer (SP)
|
100% |
36125
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
40227
51.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37738
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7884
291.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8305
306.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6504
240.2 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3730
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (Q)
|
98% |
612
10.6 IPS |
