MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3210
Single Precision Score
15465
Half Precision Score
15153
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jamesneill |
| Upload Date | December 28 2024 01:00 PM |
| Views | 1 |
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
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
6094
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5752
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9440
153.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9737
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6488
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69286
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65955
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.3 IPS |
|
|
Object Detection (HP)
|
99% |
7063
561.8 IPS |
|
|
Object Detection (Q)
|
91% |
6621
529.0 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
15648
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
14219
169.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47523
366.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
48090
375.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15900
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
120158
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115525
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23471
866.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24459
903.2 IPS |
|
|
Text Classification (SP)
|
100% |
2374
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4121
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4103
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3293
56.9 IPS |
