MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2846
Single Precision Score
4872
Half Precision Score
4250
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 20 2025 04:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
2183
405.9 IPS |
|
|
Image Classification (Q)
|
99% |
2027
378.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1932
31.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5837
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13093
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
10239
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1319
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
2055
163.6 IPS |
|
|
Object Detection (Q)
|
94% |
1622
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
2797
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5264
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
2930
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5572
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9105
70.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
8628
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12613
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23084
29.7 IPS |
|
|
Style Transfer (Q)
|
100% |
22656
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3052
113.1 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3995
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4021
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3920
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4208
72.7 IPS |
