MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5916
Single Precision Score
6806
Half Precision Score
6279
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
2364
439.6 IPS |
|
|
Image Classification (Q)
|
94% |
2060
385.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4011
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4259
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4069
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17111
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19261
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18536
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.1 IPS |
|
|
Object Detection (HP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (Q)
|
91% |
2547
203.5 IPS |
|
|
Face Detection (SP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (HP)
|
100% |
8848
105.1 IPS |
|
|
Face Detection (Q)
|
100% |
7988
94.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12065
93.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13671
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12809
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29295
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35352
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34689
44.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6408
236.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7225
266.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6011
222.0 IPS |
|
|
Text Classification (SP)
|
99% |
4338
5.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6646
8.87 KIPS |
|
|
Text Classification (Q)
|
92% |
6576
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1716
29.7 IPS |
