MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3215
Single Precision Score
16068
Half Precision Score
15769
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | February 11 2025 06:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
6401
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6070
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9780
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10219
165.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68697
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66129
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7409
589.3 IPS |
|
|
Object Detection (Q)
|
91% |
6917
552.7 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
17082
203.0 IPS |
|
|
Face Detection (Q)
|
100% |
15417
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5817
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48694
375.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49678
388.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16728
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122379
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115752
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23938
883.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24652
910.3 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3818
66.0 IPS |
