MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3215
Single Precision Score
16002
Half Precision Score
15618
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Dreaming_Night |
| Upload Date | March 13 2025 05:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5974
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9758
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10082
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68830
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66039
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7237
575.7 IPS |
|
|
Object Detection (Q)
|
91% |
6689
534.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
17112
203.3 IPS |
|
|
Face Detection (Q)
|
100% |
15554
184.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48543
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48985
382.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16698
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
122311
157.2 IPS |
|
|
Style Transfer (Q)
|
96% |
116289
150.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24243
895.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24182
892.9 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3792
65.5 IPS |
