MacBook Air (Late 2020)
Geekbench AI Score
599
Single Precision Score
6665
Half Precision Score
4467
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 04:32 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 | 1.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
2802
521.1 IPS |
|
|
Image Classification (Q)
|
96% |
2591
483.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
173
2.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1470
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
27398
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26104
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
560
44.4 IPS |
|
|
Object Detection (HP)
|
99% |
5417
430.9 IPS |
|
|
Object Detection (Q)
|
93% |
3005
239.8 IPS |
|
|
Face Detection (SP)
|
100% |
531
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
5544
65.9 IPS |
|
|
Face Detection (Q)
|
100% |
5570
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
920
7.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
20015
154.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21890
171.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2710
3.48 IPS |
|
|
Style Transfer (HP)
|
100% |
52476
67.5 IPS |
|
|
Style Transfer (Q)
|
96% |
50406
65.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13162
486.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12800
472.6 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.5 IPS |
|
|
Text Classification (HP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2085
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
625
10.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
674
11.6 IPS |
