MacBook Air (Late 2020)
Geekbench AI Score
419
Single Precision Score
4381
Half Precision Score
3572
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 09:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 1.13 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
2576
479.0 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
181
2.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
155
2.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
1771
2.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
26999
31.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26854
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
99% |
2410
191.7 IPS |
|
|
Object Detection (Q)
|
93% |
2563
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
5222
62.1 IPS |
|
|
Face Detection (Q)
|
100% |
5928
70.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
712
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
17358
133.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
15701
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2017
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
47782
61.4 IPS |
|
|
Style Transfer (Q)
|
96% |
36355
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6197
228.8 IPS |
|
|
Text Classification (SP)
|
100% |
81
108.7 IPS |
|
|
Text Classification (HP)
|
100% |
721
962.7 IPS |
|
|
Text Classification (Q)
|
93% |
1081
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.19 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.70 IPS |
