MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2968
Single Precision Score
5220
Half Precision Score
4282
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1259
234.2 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (Q)
|
96% |
1512
282.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1279
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2437
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5716
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
13374
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11520
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2318
184.5 IPS |
|
|
Object Detection (Q)
|
94% |
1716
136.8 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
5221
62.0 IPS |
|
|
Face Detection (Q)
|
100% |
3043
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5245
40.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9947
76.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7050
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15608
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24995
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20858
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3305
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4489
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3361
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4135
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2402
41.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4542
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4581
79.2 IPS |
