MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5490
Single Precision Score
6337
Half Precision Score
5904
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | comediante |
| Upload Date | January 04 2026 01:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2376
441.8 IPS |
|
|
Image Classification (HP)
|
100% |
2434
452.6 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4018
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4105
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17243
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18623
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2475
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6696
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8502
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7074
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12286
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13928
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12666
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29158
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35433
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34375
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6473
239.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7337
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
223.5 IPS |
|
|
Text Classification (SP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4147
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4099
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1513
26.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1510
26.1 IPS |
