MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3189
Single Precision Score
15961
Half Precision Score
15646
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | uwejugel |
| Upload Date | June 10 2025 07:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
6345
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5988
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9655
156.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10051
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68771
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66806
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7505
597.0 IPS |
|
|
Object Detection (Q)
|
91% |
6821
545.0 IPS |
|
|
Face Detection (SP)
|
100% |
2965
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
16837
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15592
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48502
373.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
49929
390.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16882
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122877
158.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115960
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3677
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23821
879.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24331
898.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3669
63.4 IPS |
