MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2997
Single Precision Score
13319
Half Precision Score
12993
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 28 2025 05:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5349a) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1285
239.0 IPS |
|
|
Image Classification (HP)
|
100% |
5610
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
6217
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7157
116.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3905
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5990
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
61486
71.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
59092
69.3 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
6625
527.0 IPS |
|
|
Object Detection (Q)
|
91% |
6067
484.8 IPS |
|
|
Face Detection (SP)
|
100% |
2655
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
10879
129.3 IPS |
|
|
Face Detection (Q)
|
100% |
11491
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4300
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41167
317.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
44648
345.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16101
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118758
152.7 IPS |
|
|
Style Transfer (Q)
|
100% |
123949
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23663
873.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24327
901.3 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3726
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3912
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2604
45.0 IPS |
