MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3026
Single Precision Score
5069
Half Precision Score
4179
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Serpadu |
| Upload Date | September 11 2025 03:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (Q)
|
96% |
1483
277.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1274
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2381
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13295
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11465
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
97% |
2289
182.3 IPS |
|
|
Object Detection (Q)
|
94% |
1680
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
2838
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
2976
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5355
41.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9736
75.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6950
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15903
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25285
32.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21031
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3459
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4217
155.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3332
123.0 IPS |
|
|
Text Classification (SP)
|
100% |
2194
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3916
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4243
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.1 IPS |
