MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2907
Single Precision Score
11541
Half Precision Score
12027
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | August 16 2024 09:52 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6308
1.17 KIPS |
|
|
Image Classification (Q)
|
99% |
6575
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6153
99.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6179
100.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4629
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
65091
76.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
55756
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
6181
491.7 IPS |
|
|
Object Detection (Q)
|
91% |
5551
443.6 IPS |
|
|
Face Detection (SP)
|
100% |
2892
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
8102
96.3 IPS |
|
|
Face Detection (Q)
|
100% |
11067
131.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4940
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
37034
285.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
35222
272.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12741
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
101822
130.9 IPS |
|
|
Style Transfer (Q)
|
100% |
106629
137.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22286
822.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21215
786.0 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1497
25.9 IPS |
