MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2966
Single Precision Score
14430
Half Precision Score
14100
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1258
234.0 IPS |
|
|
Image Classification (HP)
|
100% |
6104
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5776
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8570
138.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8888
144.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
60965
71.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
60512
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
99% |
6749
536.8 IPS |
|
|
Object Detection (Q)
|
91% |
6204
495.8 IPS |
|
|
Face Detection (SP)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
13234
157.2 IPS |
|
|
Face Detection (Q)
|
100% |
12578
149.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
44401
342.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
45812
358.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15652
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
115846
148.9 IPS |
|
|
Style Transfer (Q)
|
96% |
107861
139.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23815
879.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23756
877.2 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4071
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4083
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2408
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2756
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2674
46.2 IPS |
