MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3067
Single Precision Score
5335
Half Precision Score
4629
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | March 12 2025 08:39 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5228e) |
| 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 | 3.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
2169
403.4 IPS |
|
|
Image Classification (Q)
|
99% |
2166
404.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2140
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5835
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
14156
16.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11527
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1487
117.9 IPS |
|
|
Object Detection (HP)
|
97% |
2374
189.0 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
3078
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10352
80.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10253
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16699
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26919
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3643
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4756
175.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3450
127.8 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4455
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4271
73.8 IPS |
