MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3210
Single Precision Score
5410
Half Precision Score
4408
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 01:10 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.2 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2536
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
14224
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12230
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2388
190.1 IPS |
|
|
Object Detection (Q)
|
94% |
1775
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
5459
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5661
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10360
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7345
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16947
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26966
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22395
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2521
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4506
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4472
77.3 IPS |
