MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3247
Single Precision Score
15860
Half Precision Score
15560
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:32 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
97% |
6065
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8947
145.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9327
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5909
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
67994
79.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
64712
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
7099
564.7 IPS |
|
|
Object Detection (Q)
|
89% |
6612
529.3 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
14390
171.0 IPS |
|
|
Face Detection (Q)
|
100% |
13881
164.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5453
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46543
358.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47168
369.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16354
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
123251
158.4 IPS |
|
|
Style Transfer (Q)
|
96% |
114889
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3376
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24231
894.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24628
909.4 IPS |
|
|
Text Classification (SP)
|
100% |
4202
5.61 KIPS |
|
|
Text Classification (HP)
|
100% |
6576
8.78 KIPS |
|
|
Text Classification (Q)
|
93% |
6533
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2841
49.1 IPS |
