MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3180
Single Precision Score
5378
Half Precision Score
4402
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | lpessoa |
| Upload Date | June 18 2025 02:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2101
390.8 IPS |
|
|
Image Classification (Q)
|
96% |
1558
290.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2146
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2537
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6206
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13816
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11966
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2956
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5406
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3173
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10400
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7350
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16847
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26909
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22163
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3482
128.6 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4155
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4446
76.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4429
76.5 IPS |
