MacBook Air (Late 2020)
Geekbench AI Score
458
Single Precision Score
5505
Half Precision Score
4233
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 08:38 AM |
| Views | 2 |
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 | 893 MHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
199
37.0 IPS |
|
|
Image Classification (HP)
|
100% |
2758
512.8 IPS |
|
|
Image Classification (Q)
|
96% |
2124
396.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
145
2.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
142
2.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
2074
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
53952
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57514
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
3103
246.9 IPS |
|
|
Object Detection (Q)
|
93% |
3312
264.3 IPS |
|
|
Face Detection (SP)
|
100% |
407
4.83 IPS |
|
|
Face Detection (HP)
|
100% |
4676
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
5906
70.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
659
5.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
17403
134.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20678
161.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1940
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
43929
56.5 IPS |
|
|
Style Transfer (Q)
|
96% |
49232
63.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8247
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8072
298.1 IPS |
|
|
Text Classification (SP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (HP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (Q)
|
93% |
1115
1.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
595
10.3 IPS |
