MacBook Air (Late 2020)
Geekbench AI Score
587
Single Precision Score
6254
Half Precision Score
4281
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 31 2024 08:56 AM |
| Views | 11 |
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 | 2.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
470
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
2684
499.2 IPS |
|
|
Image Classification (Q)
|
96% |
2573
480.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
159
2.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
27945
32.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26120
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
3425
272.4 IPS |
|
|
Object Detection (Q)
|
93% |
3031
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
5899
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
5223
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
924
7.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
19353
149.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21675
169.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3227
4.15 IPS |
|
|
Style Transfer (HP)
|
100% |
59967
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
57785
74.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8623
318.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9388
346.7 IPS |
|
|
Text Classification (SP)
|
100% |
163
216.9 IPS |
|
|
Text Classification (HP)
|
100% |
1640
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1599
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
462
7.97 IPS |
|
|
Machine Translation (HP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
651
11.3 IPS |
