MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2054
Single Precision Score
3552
Half Precision Score
2829
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | July 18 2025 04:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 1.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
893
166.1 IPS |
|
|
Image Classification (HP)
|
100% |
1381
256.7 IPS |
|
|
Image Classification (Q)
|
96% |
960
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1437
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3086
3.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
9258
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
7590
8.90 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
97% |
1572
125.1 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (Q)
|
100% |
2013
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3610
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6818
52.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4727
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11157
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17539
22.5 IPS |
|
|
Style Transfer (Q)
|
96% |
14429
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2552
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3237
119.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2328
86.0 IPS |
|
|
Text Classification (SP)
|
100% |
1545
2.06 KIPS |
|
|
Text Classification (HP)
|
99% |
2595
3.46 KIPS |
|
|
Text Classification (Q)
|
93% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3382
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3362
58.1 IPS |
