MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3218
Single Precision Score
15943
Half Precision Score
15501
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1306
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6442
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
6075
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9082
147.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9304
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5903
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
68535
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
64830
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
7082
563.3 IPS |
|
|
Object Detection (Q)
|
89% |
6688
535.4 IPS |
|
|
Face Detection (SP)
|
100% |
2967
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
14361
170.6 IPS |
|
|
Face Detection (Q)
|
100% |
13371
158.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46338
357.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47166
369.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16327
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
123991
159.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114853
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3378
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24439
902.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24270
896.2 IPS |
|
|
Text Classification (SP)
|
100% |
4015
5.36 KIPS |
|
|
Text Classification (HP)
|
100% |
6665
8.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6543
8.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2781
47.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2842
49.1 IPS |
