MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2576
Single Precision Score
11927
Half Precision Score
12725
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 23 2025 03:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
5664
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
5737
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7780
126.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7538
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
66828
78.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
63905
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
99% |
5641
448.7 IPS |
|
|
Object Detection (Q)
|
91% |
5976
477.5 IPS |
|
|
Face Detection (SP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
6810
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
10338
122.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4235
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35201
271.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
40098
310.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7305
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
95997
123.4 IPS |
|
|
Style Transfer (Q)
|
100% |
117866
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2838
104.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19906
735.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21441
794.4 IPS |
|
|
Text Classification (SP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3214
4.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2092
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2003
34.6 IPS |
