MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2837
Single Precision Score
4293
Half Precision Score
3713
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Jayfries |
| Upload Date | January 10 2025 10:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
1701
316.3 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5855
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13552
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11753
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
1957
155.8 IPS |
|
|
Object Detection (Q)
|
94% |
1529
121.9 IPS |
|
|
Face Detection (SP)
|
100% |
2410
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
2639
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5233
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8206
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6190
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15814
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24708
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20870
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3360
124.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4280
158.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3675
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3611
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3167
54.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3058
52.8 IPS |
