MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5478
Single Precision Score
6560
Half Precision Score
6112
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | MarkCX |
| Upload Date | March 05 2026 04:27 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (HP)
|
100% |
2880
535.6 IPS |
|
|
Image Classification (Q)
|
94% |
2493
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3872
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4128
66.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3960
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15956
18.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18567
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17928
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
2758
218.8 IPS |
|
|
Object Detection (Q)
|
91% |
2575
205.8 IPS |
|
|
Face Detection (SP)
|
100% |
6623
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
8714
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
7693
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11520
88.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13392
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
12653
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27986
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34785
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33413
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6036
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6999
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5860
216.4 IPS |
|
|
Text Classification (SP)
|
100% |
2436
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4334
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4305
5.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1947
33.6 IPS |
