MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3249
Single Precision Score
15855
Half Precision Score
15483
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
6323
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
6045
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8922
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9277
150.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5910
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
67533
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64605
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
99% |
7068
562.2 IPS |
|
|
Object Detection (Q)
|
89% |
6596
528.0 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
14376
170.8 IPS |
|
|
Face Detection (Q)
|
100% |
13437
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46340
357.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
46715
365.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16320
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
123409
158.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114866
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3391
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24840
917.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24468
903.5 IPS |
|
|
Text Classification (SP)
|
100% |
4350
5.81 KIPS |
|
|
Text Classification (HP)
|
100% |
6595
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6557
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2463
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2864
49.5 IPS |
