MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4311
Single Precision Score
4930
Half Precision Score
4686
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 05:09 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1849
343.9 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (Q)
|
96% |
2055
383.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3256
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3087
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11660
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11253
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2594
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (Q)
|
92% |
2445
195.2 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
5955
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
9984
76.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8163
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24361
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31083
40.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30672
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6506
240.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6042
223.1 IPS |
|
|
Text Classification (SP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (HP)
|
99% |
2622
3.50 KIPS |
|
|
Text Classification (Q)
|
93% |
2591
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1474
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1579
27.3 IPS |
