MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5861
Single Precision Score
6846
Half Precision Score
6364
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2828
525.9 IPS |
|
|
Image Classification (HP)
|
100% |
3074
571.7 IPS |
|
|
Image Classification (Q)
|
96% |
2773
517.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4185
67.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4448
72.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4248
68.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17446
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19627
22.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
19039
22.3 IPS |
|
|
Object Detection (SP)
|
100% |
2877
228.2 IPS |
|
|
Object Detection (HP)
|
100% |
2895
229.6 IPS |
|
|
Object Detection (Q)
|
92% |
2698
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
7053
83.8 IPS |
|
|
Face Detection (HP)
|
100% |
9168
108.9 IPS |
|
|
Face Detection (Q)
|
100% |
7408
88.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12862
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14499
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13145
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29463
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35999
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
35448
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7269
268.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8078
298.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6790
250.7 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4124
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4151
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1827
31.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1851
32.0 IPS |
