MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3185
Single Precision Score
15806
Half Precision Score
15511
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:03 AM |
| Views | 7 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
6256
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5914
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1339
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9701
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10059
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6314
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68860
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66805
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7262
577.7 IPS |
|
|
Object Detection (Q)
|
91% |
6754
539.7 IPS |
|
|
Face Detection (SP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16815
199.8 IPS |
|
|
Face Detection (Q)
|
100% |
15340
182.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48345
372.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49238
384.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16952
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122245
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115503
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3626
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23379
863.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24024
887.1 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3816
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2508
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3619
62.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3775
65.2 IPS |
