MacBook Pro (13-inch Late 2020)
Geekbench AI Score
5365
Single Precision Score
6250
Half Precision Score
5239
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | June 26 2025 04:50 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2385
443.5 IPS |
|
|
Image Classification (HP)
|
100% |
2906
540.3 IPS |
|
|
Image Classification (Q)
|
99% |
2230
415.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3989
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
4268
69.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16581
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19330
22.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
18077
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (Q)
|
92% |
2503
199.8 IPS |
|
|
Face Detection (SP)
|
100% |
5639
67.0 IPS |
|
|
Face Detection (HP)
|
100% |
8092
96.1 IPS |
|
|
Face Detection (Q)
|
100% |
6983
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11757
90.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
14036
108.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
4265
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28833
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35353
45.4 IPS |
|
|
Style Transfer (Q)
|
100% |
35158
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6805
251.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7348
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6026
223.3 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
3554
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3531
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1488
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1626
28.1 IPS |
