MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3222
Single Precision Score
15393
Half Precision Score
15135
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | southface |
| Upload Date | January 09 2025 07:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
6075
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5731
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9543
154.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9876
160.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6540
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
68445
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65379
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
7031
559.3 IPS |
|
|
Object Detection (Q)
|
91% |
6468
516.8 IPS |
|
|
Face Detection (SP)
|
100% |
3040
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
15468
183.8 IPS |
|
|
Face Detection (Q)
|
100% |
14397
171.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5850
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47357
364.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47851
373.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16724
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121188
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114903
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23905
882.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24440
902.5 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3936
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
4020
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3389
58.6 IPS |
