MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3199
Single Precision Score
15473
Half Precision Score
14953
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 17 2025 10:05 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1383
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
6029
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5727
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9934
161.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68297
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65537
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7025
558.8 IPS |
|
|
Object Detection (Q)
|
91% |
6419
512.9 IPS |
|
|
Face Detection (SP)
|
100% |
2950
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
15704
186.6 IPS |
|
|
Face Detection (Q)
|
100% |
12647
150.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5780
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47891
369.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47917
374.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16139
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
121746
156.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114948
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23879
881.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24447
902.7 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4086
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4058
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3198
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3381
58.4 IPS |
