MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2870
Single Precision Score
13376
Half Precision Score
13620
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | November 15 2025 09:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5037j) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (HP)
|
100% |
6079
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
6524
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5485
88.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4674
75.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
65587
76.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
64704
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
6652
529.1 IPS |
|
|
Object Detection (Q)
|
91% |
6767
540.7 IPS |
|
|
Face Detection (SP)
|
100% |
2558
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
11179
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
11893
141.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5439
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
42616
328.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
43824
338.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15967
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117595
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
123537
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3091
114.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24004
886.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23439
868.4 IPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3666
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2558
44.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2631
45.5 IPS |
