MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3084
Single Precision Score
14426
Half Precision Score
14863
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | December 17 2024 08:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
6038
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
6265
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8263
133.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7885
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
67436
78.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
65173
76.4 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
99% |
6507
517.6 IPS |
|
|
Object Detection (Q)
|
91% |
6559
524.1 IPS |
|
|
Face Detection (SP)
|
100% |
2642
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
12355
146.8 IPS |
|
|
Face Detection (Q)
|
100% |
13377
159.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5624
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
43539
335.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
47068
363.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16792
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
117628
151.2 IPS |
|
|
Style Transfer (Q)
|
100% |
122865
157.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3734
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23537
869.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24080
892.1 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3553
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3601
62.2 IPS |
