MacBook Air (Late 2020)
Geekbench AI Score
507
Single Precision Score
5403
Half Precision Score
4228
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 04:53 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 | 1.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.5 IPS |
|
|
Image Classification (HP)
|
100% |
2307
429.1 IPS |
|
|
Image Classification (Q)
|
96% |
2610
487.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
1953
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
25823
30.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
26189
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
99% |
2971
236.3 IPS |
|
|
Object Detection (Q)
|
93% |
2776
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (HP)
|
100% |
6005
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
5489
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
826
6.36 IPS |
|
|
Depth Estimation (HP)
|
99% |
19745
152.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21262
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2336
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
51042
65.6 IPS |
|
|
Style Transfer (Q)
|
96% |
51098
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
780
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8475
312.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9370
346.0 IPS |
|
|
Text Classification (SP)
|
100% |
163
217.5 IPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1511
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.37 IPS |
|
|
Machine Translation (HP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
839
14.5 IPS |
