MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4861
Single Precision Score
5755
Half Precision Score
5038
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | wilbvh |
| Upload Date | September 10 2024 03:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
2109
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
2362
439.3 IPS |
|
|
Image Classification (Q)
|
97% |
1889
352.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3652
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16984
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18616
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16898
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
2810
222.9 IPS |
|
|
Object Detection (Q)
|
91% |
2148
171.6 IPS |
|
|
Face Detection (SP)
|
100% |
6511
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
8158
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
5686
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12398
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13586
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10618
83.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28923
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35194
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32233
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6599
243.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5552
205.0 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
