MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3237
Single Precision Score
5469
Half Precision Score
4440
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 10:03 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2195
408.1 IPS |
|
|
Image Classification (Q)
|
96% |
1525
284.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2229
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2514
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
14111
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12223
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2411
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5416
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3170
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10466
80.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7385
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17020
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
27002
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22396
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3558
131.4 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2544
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4606
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4585
79.2 IPS |
