MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3216
Single Precision Score
15982
Half Precision Score
15589
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | roomac |
| Upload Date | March 21 2025 05:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6386
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6025
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9765
158.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10067
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6513
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68037
79.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
65818
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.9 IPS |
|
|
Object Detection (HP)
|
99% |
7416
589.9 IPS |
|
|
Object Detection (Q)
|
91% |
6698
535.2 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15400
183.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48289
372.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48821
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16677
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122423
157.4 IPS |
|
|
Style Transfer (Q)
|
96% |
116353
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23663
873.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24112
890.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3961
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3795
65.6 IPS |
