MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3190
Single Precision Score
15826
Half Precision Score
15584
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:17 AM |
| Views | 6 |
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% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
6260
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5936
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9702
157.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10179
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6316
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
68704
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66714
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7214
573.9 IPS |
|
|
Object Detection (Q)
|
91% |
6732
537.9 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16833
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
15739
187.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5641
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48408
373.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
48805
381.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16946
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121889
156.7 IPS |
|
|
Style Transfer (Q)
|
96% |
115361
148.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3623
133.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23426
865.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24092
889.6 IPS |
|
|
Text Classification (SP)
|
100% |
2255
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3760
65.0 IPS |
