MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3086
Single Precision Score
5429
Half Precision Score
4441
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 15 2025 04:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.8 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2182
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2542
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12141
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2408
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5428
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10433
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7381
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26302
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21902
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3444
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4560
168.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3492
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4234
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4134
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2453
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4706
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4642
80.2 IPS |
