MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3084
Single Precision Score
15331
Half Precision Score
15829
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 17 2024 07:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1326
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
6365
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6635
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8358
135.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
8365
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6527
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67659
78.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
64723
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
6973
554.7 IPS |
|
|
Object Detection (Q)
|
91% |
6587
526.3 IPS |
|
|
Face Detection (SP)
|
100% |
2193
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
13073
155.3 IPS |
|
|
Face Detection (Q)
|
100% |
14080
167.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5613
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
38979
300.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
47157
364.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16737
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
118469
152.3 IPS |
|
|
Style Transfer (Q)
|
100% |
124695
160.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3743
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23732
876.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24876
921.6 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3895
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2482
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5198
89.8 IPS |
