MacBook Air (2022)
Geekbench AI Score
3469
Single Precision Score
24848
Half Precision Score
27392
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ESPD |
| Upload Date | November 12 2024 03:29 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
14196
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
14619
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15871
257.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
15066
244.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
100459
117.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
101042
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.3 IPS |
|
|
Object Detection (HP)
|
99% |
14762
1.17 KIPS |
|
|
Object Detection (Q)
|
91% |
17669
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3190
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
23350
277.5 IPS |
|
|
Face Detection (Q)
|
100% |
36077
428.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5722
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74755
575.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
81743
632.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18731
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155082
199.4 IPS |
|
|
Style Transfer (Q)
|
100% |
154311
198.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4063
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39370
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50288
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6809
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7184
124.1 IPS |
