MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2974
Single Precision Score
5248
Half Precision Score
4289
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:20 AM |
| Views | 3 |
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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
2129
396.0 IPS |
|
|
Image Classification (Q)
|
96% |
1518
283.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2441
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13434
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11542
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1331
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1720
137.1 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (Q)
|
100% |
3049
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10024
77.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7072
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15641
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24953
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20837
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3311
122.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4509
166.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3358
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
4158
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4132
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2398
41.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4597
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4594
79.4 IPS |
