MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3184
Single Precision Score
14114
Half Precision Score
14708
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 04:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
5962
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
6065
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1393
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7629
123.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8187
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
67003
78.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
65625
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
6238
496.2 IPS |
|
|
Object Detection (Q)
|
91% |
6254
499.7 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
11452
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
13308
158.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5797
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43330
333.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
47090
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16685
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
117408
150.9 IPS |
|
|
Style Transfer (Q)
|
100% |
122490
157.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23618
872.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24048
890.9 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3807
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3310
57.2 IPS |
