MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4889
Single Precision Score
5775
Half Precision Score
5155
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | CordonTi |
| Upload Date | January 03 2025 04:07 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2183
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
2452
456.1 IPS |
|
|
Image Classification (Q)
|
97% |
2195
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17096
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18686
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17509
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (HP)
|
100% |
2812
223.0 IPS |
|
|
Object Detection (Q)
|
91% |
2258
180.4 IPS |
|
|
Face Detection (SP)
|
100% |
6401
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
7899
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
5888
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12311
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13644
105.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11402
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28972
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34908
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32861
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6545
241.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7381
272.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5455
201.4 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4009
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3995
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
