MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2974
Single Precision Score
5255
Half Precision Score
4334
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | October 26 2025 03:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.5 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2499
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5504
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
13199
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11941
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1757
140.0 IPS |
|
|
Face Detection (SP)
|
100% |
2837
33.7 IPS |
|
|
Face Detection (HP)
|
100% |
5350
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
2941
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5271
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9818
75.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7213
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15972
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25643
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21466
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3425
126.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3458
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4593
79.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4596
79.4 IPS |
