MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5538
Single Precision Score
6432
Half Precision Score
5966
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | GeroGuitarrero |
| Upload Date | October 27 2025 02:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2449
455.5 IPS |
|
|
Image Classification (HP)
|
100% |
2515
467.8 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4045
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17138
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19330
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18626
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
2764
219.2 IPS |
|
|
Object Detection (Q)
|
92% |
2506
200.1 IPS |
|
|
Face Detection (SP)
|
100% |
6801
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8618
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
7082
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12376
95.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14046
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12760
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28887
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35298
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34265
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6609
244.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7510
277.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6150
227.1 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4227
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4344
5.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1536
26.6 IPS |
