MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3229
Single Precision Score
15960
Half Precision Score
15779
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Rikyz25 |
| Upload Date | August 24 2025 10:09 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1416
263.3 IPS |
|
|
Image Classification (HP)
|
100% |
6464
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6089
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9842
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10166
164.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6293
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
69554
81.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
66275
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7591
603.8 IPS |
|
|
Object Detection (Q)
|
91% |
7105
567.7 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16525
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
15511
184.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48667
375.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49317
385.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16856
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122528
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115719
149.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24086
889.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24510
905.0 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4148
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3225
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3649
63.1 IPS |
