MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5427
Single Precision Score
6423
Half Precision Score
5914
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dolpa_me |
| Upload Date | September 08 2025 09:17 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
2684
499.1 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3983
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4075
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17122
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19222
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18594
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
2782
220.6 IPS |
|
|
Object Detection (Q)
|
92% |
2494
199.1 IPS |
|
|
Face Detection (SP)
|
100% |
6595
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
6901
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12240
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13881
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12729
99.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29147
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35158
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34242
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6475
239.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7484
276.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6284
232.1 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4011
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4037
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1506
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1562
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1545
26.7 IPS |
