MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4953
Single Precision Score
5795
Half Precision Score
5141
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 17 2025 08:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
2293
426.4 IPS |
|
|
Image Classification (HP)
|
100% |
2453
456.1 IPS |
|
|
Image Classification (Q)
|
97% |
1954
364.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2714
44.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3641
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3673
59.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17104
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18722
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17174
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (HP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (Q)
|
91% |
2185
174.6 IPS |
|
|
Face Detection (SP)
|
100% |
6699
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8217
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
5841
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12148
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13571
104.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10636
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29070
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34771
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32258
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6758
249.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7248
267.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5574
205.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
841
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1083
18.7 IPS |
