MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3141
Single Precision Score
5208
Half Precision Score
4670
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | February 25 2025 05:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (Q)
|
99% |
2194
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6260
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
13873
16.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
11861
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1453
115.3 IPS |
|
|
Object Detection (HP)
|
97% |
2080
165.6 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2880
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4890
58.1 IPS |
|
|
Face Detection (Q)
|
100% |
3103
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10401
80.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10270
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16894
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26925
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26837
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3701
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3434
127.2 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4457
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
