MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1796
Single Precision Score
12670
Half Precision Score
10177
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | wakhid |
| Upload Date | September 22 2025 10:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
990
184.2 IPS |
|
|
Image Classification (HP)
|
100% |
6518
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
5681
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4279
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
516
8.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
5614
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
68313
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65229
76.5 IPS |
|
|
Object Detection (SP)
|
100% |
1048
83.1 IPS |
|
|
Object Detection (HP)
|
99% |
7046
560.5 IPS |
|
|
Object Detection (Q)
|
93% |
6629
528.9 IPS |
|
|
Face Detection (SP)
|
100% |
1824
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
12259
145.7 IPS |
|
|
Face Detection (Q)
|
100% |
12377
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3260
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
45963
354.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
51754
404.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9905
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118943
152.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114768
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18064
667.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21003
775.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
578.7 IPS |
|
|
Text Classification (HP)
|
100% |
2834
3.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2638
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1328
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2310
39.9 IPS |
