MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1220
Single Precision Score
9660
Half Precision Score
9779
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | oguogu |
| Upload Date | August 23 2024 04:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
653
121.5 IPS |
|
|
Image Classification (HP)
|
100% |
5041
937.5 IPS |
|
|
Image Classification (Q)
|
99% |
5085
948.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3427
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3794
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
47776
55.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
46053
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
753
59.7 IPS |
|
|
Object Detection (HP)
|
99% |
5294
421.1 IPS |
|
|
Object Detection (Q)
|
93% |
4941
394.2 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
9563
113.6 IPS |
|
|
Face Detection (Q)
|
100% |
9810
116.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2327
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34880
268.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
36167
279.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6475
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
90656
116.5 IPS |
|
|
Style Transfer (Q)
|
100% |
95454
122.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1725
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14247
526.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
16180
599.4 IPS |
|
|
Text Classification (SP)
|
100% |
265
353.7 IPS |
|
|
Text Classification (HP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2328
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1581
27.3 IPS |
