MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3204
Single Precision Score
16004
Half Precision Score
15674
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 31 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6000
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9772
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10042
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69035
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66857
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
7328
582.9 IPS |
|
|
Object Detection (Q)
|
91% |
6828
545.6 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16850
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15407
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48645
374.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49402
386.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16905
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122179
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115295
148.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23761
877.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24522
905.5 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4036
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3761
65.0 IPS |
