MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3241
Single Precision Score
15903
Half Precision Score
15503
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | y561994 |
| Upload Date | March 15 2026 10:34 AM |
| Views | 5 |
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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
6343
1.18 KIPS |
|
|
Image Classification (Q)
|
97% |
6012
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8945
145.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9248
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5901
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
67741
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
64665
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
99% |
7123
566.6 IPS |
|
|
Object Detection (Q)
|
89% |
6561
525.3 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
14402
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
13426
159.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5415
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46415
357.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46972
367.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16337
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
123500
158.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114929
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3377
124.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24491
904.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24282
896.6 IPS |
|
|
Text Classification (SP)
|
100% |
4237
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6636
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6791
9.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2845
49.2 IPS |
