MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3166
Single Precision Score
14654
Half Precision Score
14412
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 16 2024 10:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
6070
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5927
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6654
107.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6795
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6550
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
70507
82.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67154
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.9 IPS |
|
|
Object Detection (HP)
|
99% |
7397
588.4 IPS |
|
|
Object Detection (Q)
|
91% |
6896
551.0 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16529
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
15716
186.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5713
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50031
385.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
50880
397.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16710
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
123775
159.1 IPS |
|
|
Style Transfer (Q)
|
96% |
119288
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3682
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23840
880.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24732
913.2 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3832
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2292
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2293
39.6 IPS |
