MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3211
Single Precision Score
15423
Half Precision Score
15201
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 04:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
5966
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5643
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9511
154.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9909
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
65832
76.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65346
76.6 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
6832
543.5 IPS |
|
|
Object Detection (Q)
|
91% |
6390
510.6 IPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
15630
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
14457
171.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5829
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47564
366.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49257
384.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16747
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120508
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114842
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3715
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23862
881.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24110
890.3 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3837
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3754
64.9 IPS |
