MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4736
Single Precision Score
5553
Half Precision Score
4975
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 04:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (HP)
|
100% |
2450
455.7 IPS |
|
|
Image Classification (Q)
|
97% |
2110
393.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2583
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3578
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3743
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16787
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18377
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17185
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (Q)
|
91% |
2303
184.0 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
7867
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
5534
65.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11448
88.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13284
102.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
11131
87.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28383
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34425
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32541
42.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6342
234.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7115
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5512
203.5 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3731
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3728
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
704
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
674
11.6 IPS |
|
|
Machine Translation (Q)
|
98% |
722
12.5 IPS |
