MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5929
Single Precision Score
6807
Half Precision Score
6462
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.3 IPS |
|
|
Image Classification (Q)
|
94% |
2154
402.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4031
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4078
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16972
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19360
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18685
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
2781
220.6 IPS |
|
|
Object Detection (Q)
|
91% |
2569
205.3 IPS |
|
|
Face Detection (SP)
|
100% |
7270
86.4 IPS |
|
|
Face Detection (HP)
|
100% |
8873
105.4 IPS |
|
|
Face Detection (Q)
|
100% |
7968
94.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12052
92.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13731
105.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
13191
103.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29798
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35957
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34755
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6501
240.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6013
222.0 IPS |
|
|
Text Classification (SP)
|
99% |
4277
5.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6655
8.88 KIPS |
|
|
Text Classification (Q)
|
92% |
6625
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2072
35.8 IPS |
