MacBook Air (Late 2020)
Geekbench AI Score
534
Single Precision Score
6131
Half Precision Score
4493
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 17 2024 05:05 AM |
| Views | 9 |
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 | 1.81 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.6 IPS |
|
|
Image Classification (HP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (Q)
|
96% |
3291
614.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
135
2.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
1259
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
26796
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26153
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
99% |
2948
234.5 IPS |
|
|
Object Detection (Q)
|
93% |
2811
224.3 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.05 IPS |
|
|
Face Detection (HP)
|
100% |
4847
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
6116
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
877
6.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
20023
154.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21290
166.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2699
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
51942
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
53369
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
770
28.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13855
511.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8864
327.3 IPS |
|
|
Text Classification (SP)
|
100% |
126
168.7 IPS |
|
|
Text Classification (HP)
|
100% |
2459
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2308
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
722
12.5 IPS |
