MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4921
Single Precision Score
5608
Half Precision Score
4194
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | August 16 2024 06:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5264n) |
| 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% |
2418
449.7 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
99% |
1855
346.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2689
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3568
57.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17073
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18342
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
16419
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2691
213.5 IPS |
|
|
Object Detection (HP)
|
100% |
2640
209.4 IPS |
|
|
Object Detection (Q)
|
91% |
2067
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8185
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
5730
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12062
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13472
103.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
1956
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29074
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34564
44.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35163
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6457
238.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7021
259.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5210
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
842
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
833
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
951
16.4 IPS |
