MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3175
Single Precision Score
13812
Half Precision Score
14089
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Hais |
| Upload Date | November 08 2024 09:01 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
6327
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6566
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6123
99.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6129
99.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6408
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
68056
79.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
65558
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1501
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
6795
540.5 IPS |
|
|
Object Detection (Q)
|
91% |
6729
537.7 IPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
12886
153.1 IPS |
|
|
Face Detection (Q)
|
100% |
14202
168.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5719
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44015
339.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
47091
364.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16666
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
118289
152.1 IPS |
|
|
Style Transfer (Q)
|
100% |
123731
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3662
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23576
870.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24212
897.0 IPS |
|
|
Text Classification (SP)
|
100% |
2248
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2295
39.7 IPS |
