MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4290
Single Precision Score
4707
Half Precision Score
1623
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 21 2024 03:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
1918
356.6 IPS |
|
|
Image Classification (Q)
|
97% |
1518
283.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2585
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3484
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3488
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16518
19.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18359
21.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
16389
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
92% |
2006
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
5932
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
7219
85.8 IPS |
|
|
Face Detection (Q)
|
100% |
4967
59.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11932
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12685
97.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27795
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34150
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31654
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6174
228.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7107
262.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5473
202.1 IPS |
|
|
Text Classification (SP)
|
100% |
1105
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
665
888.1 IPS |
|
|
Text Classification (Q)
|
93% |
761
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1143
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1118
19.3 IPS |
