MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5368
Single Precision Score
6301
Half Precision Score
4871
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | May 18 2025 06:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
427.9 IPS |
|
|
Image Classification (HP)
|
100% |
2520
468.6 IPS |
|
|
Image Classification (Q)
|
99% |
2600
485.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3963
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4205
68.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
4389
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16607
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19358
22.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
18415
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2930
232.4 IPS |
|
|
Object Detection (HP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (Q)
|
92% |
2451
195.7 IPS |
|
|
Face Detection (SP)
|
100% |
6200
73.7 IPS |
|
|
Face Detection (HP)
|
100% |
8730
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
6705
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12119
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13536
104.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
2137
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28913
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35466
45.6 IPS |
|
|
Style Transfer (Q)
|
100% |
35054
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7563
279.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6745
249.9 IPS |
|
|
Text Classification (SP)
|
100% |
2159
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3712
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1486
25.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1161
20.1 IPS |
