MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2901
Single Precision Score
5081
Half Precision Score
4237
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 28 2025 05:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 2.81 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
2016
375.0 IPS |
|
|
Image Classification (Q)
|
99% |
1840
343.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
953
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1426
23.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13580
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10650
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.4 IPS |
|
|
Object Detection (Q)
|
94% |
1717
136.9 IPS |
|
|
Face Detection (SP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
3018
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5212
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9544
73.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
9631
74.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14337
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23918
30.7 IPS |
|
|
Style Transfer (Q)
|
100% |
23457
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3400
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4710
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3344
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2161
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4645
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4537
78.4 IPS |
