MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3212
Single Precision Score
5297
Half Precision Score
4393
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 03:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1371
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2597
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13923
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2427
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5474
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11067
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7688
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26641
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
21923
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4452
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3383
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3772
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
72.9 IPS |
