MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3035
Single Precision Score
4923
Half Precision Score
4147
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | finnmund |
| Upload Date | February 05 2025 11:39 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
1992
370.4 IPS |
|
|
Image Classification (Q)
|
96% |
1442
269.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2477
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6126
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
13121
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11403
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
1606
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
2786
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5089
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
3003
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10270
79.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7291
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15821
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24890
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20518
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4037
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3207
118.4 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3730
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3784
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4280
74.0 IPS |
