MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1810
Single Precision Score
12316
Half Precision Score
10045
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 24 2024 06:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
992
184.4 IPS |
|
|
Image Classification (HP)
|
100% |
6348
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5737
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4217
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
479
7.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
5688
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
67738
79.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66136
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1072
85.0 IPS |
|
|
Object Detection (HP)
|
99% |
7064
561.9 IPS |
|
|
Object Detection (Q)
|
93% |
6498
518.5 IPS |
|
|
Face Detection (SP)
|
100% |
1845
21.9 IPS |
|
|
Face Detection (HP)
|
100% |
12162
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
12895
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3355
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44069
339.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
52167
407.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9908
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
118835
152.8 IPS |
|
|
Style Transfer (Q)
|
96% |
114828
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2482
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17901
661.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20843
769.6 IPS |
|
|
Text Classification (SP)
|
100% |
472
629.7 IPS |
|
|
Text Classification (HP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2297
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2298
39.7 IPS |
