MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2988
Single Precision Score
5002
Half Precision Score
4531
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | July 10 2025 05:26 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1356
252.3 IPS |
|
|
Image Classification (HP)
|
100% |
2116
393.5 IPS |
|
|
Image Classification (Q)
|
99% |
2035
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1174
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2006
32.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5880
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
11063
12.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11911
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
2275
181.1 IPS |
|
|
Object Detection (Q)
|
94% |
1729
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
2858
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2679
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5444
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
9838
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16846
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26228
33.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26503
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3138
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4596
169.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3459
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
2127
2.84 KIPS |
|
|
Text Classification (HP)
|
99% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4588
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4567
78.9 IPS |
