MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2835
Single Precision Score
4286
Half Precision Score
3722
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 30 2025 02:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.2 (Build 23J126) |
| 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% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
1702
316.5 IPS |
|
|
Image Classification (Q)
|
96% |
1291
241.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5861
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13555
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11741
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
1957
155.8 IPS |
|
|
Object Detection (Q)
|
94% |
1529
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (Q)
|
100% |
2645
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5248
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8215
63.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
6195
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15619
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24745
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20878
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3406
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3661
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1779
30.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3072
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3072
53.1 IPS |
