MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3211
Single Precision Score
16051
Half Precision Score
15914
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:26 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6491
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6121
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9870
160.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10206
165.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68810
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66854
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
7245
576.3 IPS |
|
|
Object Detection (Q)
|
91% |
6923
553.2 IPS |
|
|
Face Detection (SP)
|
100% |
3036
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16879
200.6 IPS |
|
|
Face Detection (Q)
|
100% |
16193
192.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5630
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
48976
377.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
51498
402.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16947
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122422
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
115720
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24199
893.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25322
935.0 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3629
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3674
63.5 IPS |
