MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2999
Single Precision Score
15403
Half Precision Score
15279
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | hide1987 |
| Upload Date | April 11 2026 01:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
6198
1.15 KIPS |
|
|
Image Classification (Q)
|
97% |
5901
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8232
133.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8594
139.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5369
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
67272
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64885
76.0 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
99% |
6823
542.8 IPS |
|
|
Object Detection (Q)
|
89% |
6765
541.6 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
13541
160.9 IPS |
|
|
Face Detection (Q)
|
100% |
12939
153.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44100
339.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47060
368.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15191
19.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122114
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115384
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3023
111.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23671
874.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24076
889.0 IPS |
|
|
Text Classification (SP)
|
99% |
4083
5.45 KIPS |
|
|
Text Classification (HP)
|
99% |
7145
9.54 KIPS |
|
|
Text Classification (Q)
|
93% |
7037
9.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2383
41.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2604
44.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2618
45.2 IPS |
