MacBook Air (2022)
Geekbench AI Score
3472
Single Precision Score
26260
Half Precision Score
29039
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:47 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1406
261.5 IPS |
|
|
Image Classification (HP)
|
100% |
14659
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
14460
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19156
310.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23695
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6846
7.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
103459
120.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105237
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1565
124.2 IPS |
|
|
Object Detection (HP)
|
99% |
15312
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17522
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3149
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
32968
391.7 IPS |
|
|
Face Detection (Q)
|
100% |
42338
503.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5747
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87177
671.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107167
837.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18698
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201449
259.0 IPS |
|
|
Style Transfer (Q)
|
96% |
190808
246.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39560
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49340
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3722
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4245
73.4 IPS |
