MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3254
Single Precision Score
5638
Half Precision Score
4661
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2204
410.0 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2519
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5900
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
14080
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12099
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1380
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5435
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10391
80.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7368
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16333
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26966
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22342
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4499
166.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
4432
5.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6565
8.76 KIPS |
|
|
Text Classification (Q)
|
92% |
6869
9.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4543
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4558
78.8 IPS |
