MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3088
Single Precision Score
15766
Half Precision Score
15238
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | cursedatom |
| Upload Date | May 21 2025 04:35 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1330
247.3 IPS |
|
|
Image Classification (HP)
|
100% |
6211
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5978
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9324
151.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9741
157.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6050
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
69872
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
67738
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
99% |
7327
582.9 IPS |
|
|
Object Detection (Q)
|
91% |
6667
532.7 IPS |
|
|
Face Detection (SP)
|
100% |
2854
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
16398
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
13108
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5552
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47906
369.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
47861
374.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16598
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
121665
156.4 IPS |
|
|
Style Transfer (Q)
|
96% |
117198
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3699
136.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23570
870.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24102
890.0 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4011
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2489
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3506
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3611
62.4 IPS |
