MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5487
Single Precision Score
6360
Half Precision Score
5935
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gutermanjunior |
| Upload Date | June 08 2025 09:31 PM |
| Views | 4 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
2475
460.3 IPS |
|
|
Image Classification (Q)
|
96% |
2356
439.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4256
69.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4079
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17047
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19322
22.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18604
21.8 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
2728
216.4 IPS |
|
|
Object Detection (Q)
|
92% |
2482
198.2 IPS |
|
|
Face Detection (SP)
|
100% |
6985
83.0 IPS |
|
|
Face Detection (HP)
|
100% |
8486
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
7064
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12149
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13848
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12700
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29426
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35654
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34812
44.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6501
240.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7517
277.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6322
233.4 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4007
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1546
26.7 IPS |
