MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3199
Single Precision Score
16055
Half Precision Score
15718
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:34 PM |
| Views | 5 |
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% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
6350
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5999
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9680
156.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10071
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6511
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68869
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66511
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7377
586.8 IPS |
|
|
Object Detection (Q)
|
91% |
6927
553.5 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16826
199.9 IPS |
|
|
Face Detection (Q)
|
100% |
15485
184.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5681
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48745
375.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
49875
389.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16949
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122386
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115717
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23961
884.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24351
899.2 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3789
65.5 IPS |
