MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3188
Single Precision Score
13736
Half Precision Score
14050
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | August 19 2024 05:05 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
6305
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6560
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6155
99.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6150
99.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67629
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64685
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
99% |
6949
552.8 IPS |
|
|
Object Detection (Q)
|
91% |
6715
536.5 IPS |
|
|
Face Detection (SP)
|
100% |
2991
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
11735
139.4 IPS |
|
|
Face Detection (Q)
|
100% |
13640
162.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
44257
341.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
47125
364.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16720
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118283
152.1 IPS |
|
|
Style Transfer (Q)
|
100% |
123782
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23562
870.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23949
887.3 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3887
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2311
39.9 IPS |
