MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2967
Single Precision Score
14461
Half Precision Score
14199
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | September 20 2025 01:36 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
6114
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5793
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1265
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8569
138.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8951
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5696
6.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
61113
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60508
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1336
105.9 IPS |
|
|
Object Detection (HP)
|
99% |
6731
535.5 IPS |
|
|
Object Detection (Q)
|
91% |
6144
490.9 IPS |
|
|
Face Detection (SP)
|
100% |
2866
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
13196
156.8 IPS |
|
|
Face Detection (Q)
|
100% |
12606
149.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5246
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44372
341.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
45799
357.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15617
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
117066
150.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108968
140.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3306
122.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23808
879.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23803
878.9 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4095
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2407
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2755
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2819
48.7 IPS |
