MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5458
Single Precision Score
6336
Half Precision Score
5916
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uwejugel |
| Upload Date | June 10 2025 07:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2430
451.9 IPS |
|
|
Image Classification (HP)
|
100% |
2415
449.2 IPS |
|
|
Image Classification (Q)
|
96% |
2292
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4070
66.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4313
69.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4143
67.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17068
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19257
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18688
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (Q)
|
92% |
2536
202.5 IPS |
|
|
Face Detection (SP)
|
100% |
6573
78.1 IPS |
|
|
Face Detection (HP)
|
100% |
8189
97.3 IPS |
|
|
Face Detection (Q)
|
100% |
6775
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12144
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13849
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12853
100.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28983
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35294
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34486
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6503
240.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7439
274.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6324
233.5 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3958
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3938
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1562
27.0 IPS |
