MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3021
Single Precision Score
13769
Half Precision Score
14056
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 04:48 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (HP)
|
100% |
5835
1.09 KIPS |
|
|
Image Classification (Q)
|
99% |
6225
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7670
124.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
7466
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
66390
77.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
65172
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1482
117.6 IPS |
|
|
Object Detection (HP)
|
99% |
6480
515.5 IPS |
|
|
Object Detection (Q)
|
91% |
6423
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
2870
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
10690
127.0 IPS |
|
|
Face Detection (Q)
|
100% |
11839
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43218
333.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
43958
339.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16345
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
119523
153.6 IPS |
|
|
Style Transfer (Q)
|
100% |
123262
158.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3619
133.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24043
887.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24292
900.0 IPS |
|
|
Text Classification (SP)
|
100% |
2204
2.94 KIPS |
|
|
Text Classification (HP)
|
99% |
3578
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3921
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2679
46.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2534
43.8 IPS |
