MacBook Air (Late 2020)
Geekbench AI Score
455
Single Precision Score
4846
Half Precision Score
3668
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 31 2024 09:03 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 | 1.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
2860
531.8 IPS |
|
|
Image Classification (Q)
|
96% |
2554
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
138
2.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
1260
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
26796
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26087
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
99% |
2859
227.4 IPS |
|
|
Object Detection (Q)
|
93% |
2824
225.3 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
5544
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
819
6.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
19805
152.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21724
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1841
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
45156
58.0 IPS |
|
|
Style Transfer (Q)
|
96% |
46606
60.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
860
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10560
389.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7662
282.9 IPS |
|
|
Text Classification (SP)
|
100% |
180
240.3 IPS |
|
|
Text Classification (HP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
822
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
481
8.31 IPS |
