MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3083
Single Precision Score
5404
Half Precision Score
4511
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | hide1987 |
| Upload Date | April 11 2026 01:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1184
220.2 IPS |
|
|
Image Classification (HP)
|
100% |
2010
373.8 IPS |
|
|
Image Classification (Q)
|
96% |
1544
288.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2307
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5480
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
13315
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11407
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2371
188.7 IPS |
|
|
Object Detection (Q)
|
94% |
1769
141.0 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
4832
57.4 IPS |
|
|
Face Detection (Q)
|
100% |
2902
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5230
40.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9506
73.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7289
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15864
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26104
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21846
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3274
120.9 IPS |
|
|
Text Classification (SP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6738
8.99 KIPS |
|
|
Text Classification (Q)
|
92% |
7278
9.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4322
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4416
76.3 IPS |
