MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3214
Single Precision Score
16013
Half Precision Score
15649
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shigue |
| Upload Date | March 17 2025 02:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.1 IPS |
|
|
Image Classification (HP)
|
100% |
6308
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5938
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1356
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9693
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10014
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6523
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69103
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
67068
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7260
577.5 IPS |
|
|
Object Detection (Q)
|
91% |
6813
544.4 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16840
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15518
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48364
372.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48823
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16780
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
122174
157.1 IPS |
|
|
Style Transfer (Q)
|
96% |
115180
148.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23904
882.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24181
892.9 IPS |
|
|
Text Classification (SP)
|
100% |
2357
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4159
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4099
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2507
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3655
63.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3749
64.8 IPS |
