MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3223
Single Precision Score
15423
Half Precision Score
15124
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | January 28 2025 01:34 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
6105
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5754
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9526
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9885
160.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6484
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
68770
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
65581
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
99% |
6929
551.2 IPS |
|
|
Object Detection (Q)
|
91% |
6417
512.7 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
15653
186.0 IPS |
|
|
Face Detection (Q)
|
100% |
14496
172.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47335
364.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47534
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16820
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
120543
155.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116058
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23949
884.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24527
905.7 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3314
57.3 IPS |
