MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2967
Single Precision Score
14567
Half Precision Score
14568
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | March 06 2025 05:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
5820
1.08 KIPS |
|
|
Image Classification (Q)
|
99% |
6543
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8368
135.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
7509
121.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
68361
79.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
56758
66.6 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
99% |
6134
487.9 IPS |
|
|
Object Detection (Q)
|
91% |
6257
500.0 IPS |
|
|
Face Detection (SP)
|
100% |
2888
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
12712
151.0 IPS |
|
|
Face Detection (Q)
|
100% |
14082
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
45261
348.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
47096
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15914
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117555
151.1 IPS |
|
|
Style Transfer (Q)
|
100% |
122370
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24084
889.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24446
905.7 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3589
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2420
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3616
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3467
59.9 IPS |
