MacBook Air (Late 2020)
Geekbench AI Score
470
Single Precision Score
5290
Half Precision Score
4264
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:19 AM |
| Views | 4 |
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 | 1.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.5 IPS |
|
|
Image Classification (HP)
|
100% |
1969
366.2 IPS |
|
|
Image Classification (Q)
|
96% |
2373
443.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1266
1.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
26805
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26458
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
267
21.2 IPS |
|
|
Object Detection (HP)
|
99% |
2934
233.4 IPS |
|
|
Object Detection (Q)
|
93% |
2702
215.6 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
5206
61.9 IPS |
|
|
Face Detection (Q)
|
100% |
5902
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
20128
155.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21366
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2603
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
50605
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
47451
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8207
303.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8993
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.2 IPS |
|
|
Text Classification (HP)
|
100% |
1639
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1038
17.9 IPS |
