MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2887
Single Precision Score
14094
Half Precision Score
13865
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:49 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 | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1257
233.8 IPS |
|
|
Image Classification (HP)
|
100% |
6125
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5806
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1242
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8497
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8934
144.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
61710
72.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59355
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
1311
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
6428
511.3 IPS |
|
|
Object Detection (Q)
|
91% |
6183
494.0 IPS |
|
|
Face Detection (SP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (HP)
|
100% |
13266
157.6 IPS |
|
|
Face Detection (Q)
|
100% |
12493
148.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5225
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43347
334.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
44526
347.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15076
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
112649
144.8 IPS |
|
|
Style Transfer (Q)
|
96% |
108727
140.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3250
120.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23728
876.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23155
855.0 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3883
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2153
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2537
43.8 IPS |
