MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5465
Single Precision Score
6385
Half Precision Score
5901
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 31 2025 07:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2385
443.5 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.4 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4260
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4089
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16998
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19264
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18653
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2711
215.0 IPS |
|
|
Object Detection (HP)
|
100% |
2746
217.8 IPS |
|
|
Object Detection (Q)
|
92% |
2483
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6493
77.2 IPS |
|
|
Face Detection (HP)
|
100% |
8355
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
6828
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12128
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13909
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12999
101.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29064
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35267
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34572
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6672
246.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7548
278.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6402
236.4 IPS |
|
|
Text Classification (SP)
|
100% |
2328
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4083
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1518
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1583
27.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1565
27.1 IPS |
