MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3278
Single Precision Score
5737
Half Precision Score
4668
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mo_shakib |
| Upload Date | February 25 2026 09:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5207k) |
| 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% |
1316
244.7 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1574
293.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2236
36.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2520
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5910
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
14100
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12126
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2424
193.0 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5461
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10393
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7365
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16339
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
27004
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22377
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3429
126.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
4400
5.87 KIPS |
|
|
Text Classification (HP)
|
99% |
6847
9.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6814
9.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4517
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.1 IPS |
