MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3215
Single Precision Score
14934
Half Precision Score
14644
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | imaginarybeing |
| Upload Date | August 22 2025 11:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
6252
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5939
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9015
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9300
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
67905
79.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65399
76.7 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
7054
561.2 IPS |
|
|
Object Detection (Q)
|
91% |
6611
528.3 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
14012
166.5 IPS |
|
|
Face Detection (Q)
|
100% |
13020
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5632
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
45389
349.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47072
367.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16816
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120950
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
113400
146.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24004
886.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24096
889.8 IPS |
|
|
Text Classification (SP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4049
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2745
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2802
48.4 IPS |
