MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3206
Single Precision Score
15981
Half Precision Score
15664
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 11 2025 03:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1419
264.0 IPS |
|
|
Image Classification (HP)
|
100% |
6312
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5988
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10104
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69127
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66518
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7286
579.6 IPS |
|
|
Object Detection (Q)
|
91% |
6865
548.6 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
16834
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
15371
182.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5679
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48888
376.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49465
386.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122186
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115905
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23763
877.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24255
895.6 IPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3669
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3770
65.2 IPS |
