MacBook Air (Late 2020)
Geekbench AI Score
506
Single Precision Score
5395
Half Precision Score
4132
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 11 2024 02:56 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 | 1.35 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
308
57.3 IPS |
|
|
Image Classification (HP)
|
100% |
2693
500.8 IPS |
|
|
Image Classification (Q)
|
96% |
2554
477.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
144
2.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
1532
1.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
26870
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26422
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
283
22.5 IPS |
|
|
Object Detection (HP)
|
99% |
2926
232.8 IPS |
|
|
Object Detection (Q)
|
93% |
2771
221.1 IPS |
|
|
Face Detection (SP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (HP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
5123
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
868
6.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
19760
152.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21612
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2334
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
51988
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
50158
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
753
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7821
288.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9179
338.9 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.0 IPS |
|
|
Text Classification (HP)
|
100% |
1612
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1443
1.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
733
12.7 IPS |
