MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5553
Single Precision Score
6689
Half Precision Score
6162
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
2920
543.0 IPS |
|
|
Image Classification (Q)
|
96% |
2738
511.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4120
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4443
72.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4255
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17371
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19463
22.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
18868
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2738
217.2 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (Q)
|
92% |
2599
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
6574
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6214
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11691
90.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14111
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12483
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29322
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35908
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
35439
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7067
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8058
297.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6766
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4122
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1837
31.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1827
31.6 IPS |
