MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2821
Single Precision Score
4269
Half Precision Score
3710
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | aitken |
| Upload Date | September 11 2024 05:28 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (13-inch Late 2020) |
| Model ID | MacBookPro17,1 |
| Motherboard | MacBookPro17,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1307
243.1 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
96% |
1286
240.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5836
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13537
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11717
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
97% |
1952
155.4 IPS |
|
|
Object Detection (Q)
|
94% |
1526
121.7 IPS |
|
|
Face Detection (SP)
|
100% |
2365
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4009
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2602
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5221
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8157
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6143
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15574
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24589
31.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20779
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4272
157.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3708
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3665
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3059
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3067
53.0 IPS |
