MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2847
Single Precision Score
4311
Half Precision Score
3718
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | September 22 2025 10:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.4 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1682
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5809
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
13518
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11610
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
1956
155.7 IPS |
|
|
Object Detection (Q)
|
94% |
1526
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2633
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5239
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8208
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6187
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15668
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24812
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20908
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3367
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4454
164.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3780
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3665
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1806
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3101
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3099
53.5 IPS |
