MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3256
Single Precision Score
16799
Half Precision Score
16471
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
6446
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6104
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9893
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10198
165.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6504
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69813
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66399
77.8 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
99% |
7604
604.9 IPS |
|
|
Object Detection (Q)
|
91% |
7106
567.8 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
17074
202.9 IPS |
|
|
Face Detection (Q)
|
100% |
15596
185.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5820
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49042
377.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
49825
389.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17013
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
122122
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115568
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3794
140.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24171
892.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24841
917.3 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2560
44.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5260
90.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5570
96.3 IPS |
