MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5508
Single Precision Score
6437
Half Precision Score
6044
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 10:06 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2324
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
2488
462.7 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4031
65.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4304
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4099
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17240
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19371
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18843
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
2786
221.0 IPS |
|
|
Object Detection (Q)
|
92% |
2512
200.5 IPS |
|
|
Face Detection (SP)
|
100% |
6723
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
8239
97.9 IPS |
|
|
Face Detection (Q)
|
100% |
7047
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12353
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14002
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
12875
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29198
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35432
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
34376
44.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6652
245.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7661
282.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6462
238.6 IPS |
|
|
Text Classification (SP)
|
100% |
2355
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1604
27.7 IPS |
