MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3220
Single Precision Score
16522
Half Precision Score
16223
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Bigguswiggus |
| Upload Date | January 12 2025 01:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1417
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
6373
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6033
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9782
158.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10075
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68843
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66510
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
99% |
7310
581.5 IPS |
|
|
Object Detection (Q)
|
91% |
6879
549.6 IPS |
|
|
Face Detection (SP)
|
100% |
3044
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16999
202.0 IPS |
|
|
Face Detection (Q)
|
100% |
15386
182.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5809
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48855
376.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
49631
387.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16627
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122857
157.9 IPS |
|
|
Style Transfer (Q)
|
96% |
116528
150.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23797
878.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24550
906.5 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2474
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5017
86.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5257
90.9 IPS |
