MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3186
Single Precision Score
15877
Half Precision Score
15531
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 10 2025 02:07 AM |
| Views | 5 |
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% |
1415
263.2 IPS |
|
|
Image Classification (HP)
|
100% |
6241
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5895
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9778
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10027
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6338
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
68910
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66728
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7226
574.8 IPS |
|
|
Object Detection (Q)
|
91% |
6754
539.7 IPS |
|
|
Face Detection (SP)
|
100% |
2995
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16944
201.3 IPS |
|
|
Face Detection (Q)
|
100% |
15550
184.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48482
373.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
48823
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16980
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122103
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115511
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3625
133.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23660
873.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24113
890.4 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3967
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3674
63.5 IPS |
