MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5458
Single Precision Score
6300
Half Precision Score
5967
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Miroslav_Buryak |
| Upload Date | September 17 2025 11:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (Q)
|
96% |
2368
442.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4029
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4247
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4087
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17169
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19267
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18502
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2729
216.4 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
92% |
2478
197.8 IPS |
|
|
Face Detection (SP)
|
100% |
6642
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
6782
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12202
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13874
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12836
100.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29083
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35327
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34502
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6537
241.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7455
275.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6944
256.4 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
3987
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1547
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1553
26.8 IPS |
