MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4971
Single Precision Score
5772
Half Precision Score
5155
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nordicpioneer |
| Upload Date | February 11 2025 06:16 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2452
456.0 IPS |
|
|
Image Classification (HP)
|
100% |
2387
443.9 IPS |
|
|
Image Classification (Q)
|
97% |
2346
437.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2733
44.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3708
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17065
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18665
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17388
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2688
213.2 IPS |
|
|
Object Detection (HP)
|
100% |
2683
212.9 IPS |
|
|
Object Detection (Q)
|
91% |
2256
180.3 IPS |
|
|
Face Detection (SP)
|
100% |
6822
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8152
96.9 IPS |
|
|
Face Detection (Q)
|
100% |
5718
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12152
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13676
105.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
11386
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29133
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34953
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32966
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6555
242.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7290
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5522
203.9 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
