MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3229
Single Precision Score
15213
Half Precision Score
15047
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 25 2024 06:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
6023
1.12 KIPS |
|
|
Image Classification (Q)
|
96% |
5725
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9535
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9898
160.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68323
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
65650
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
6970
554.5 IPS |
|
|
Object Detection (Q)
|
91% |
6304
503.7 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
13562
161.1 IPS |
|
|
Face Detection (Q)
|
100% |
14154
168.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47462
365.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
47254
369.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16695
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120951
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115517
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23934
883.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24203
893.7 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4092
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2553
44.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3332
57.6 IPS |
