MacBook Pro (13-inch Late 2020)
Geekbench AI Score
1807
Single Precision Score
12588
Half Precision Score
12753
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | blyzer |
| Upload Date | August 22 2024 04:07 PM |
| Views | 2 |
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 | 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% |
964
179.3 IPS |
|
|
Image Classification (HP)
|
100% |
6478
1.20 KIPS |
|
|
Image Classification (Q)
|
99% |
6715
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4248
68.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
4227
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5651
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68397
79.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
64402
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (HP)
|
99% |
7187
571.7 IPS |
|
|
Object Detection (Q)
|
93% |
6695
534.2 IPS |
|
|
Face Detection (SP)
|
100% |
1837
21.8 IPS |
|
|
Face Detection (HP)
|
100% |
12215
145.1 IPS |
|
|
Face Detection (Q)
|
100% |
12084
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3343
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
44946
346.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
47273
365.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9852
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
119097
153.1 IPS |
|
|
Style Transfer (Q)
|
100% |
124538
160.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2591
95.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18030
665.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21067
780.5 IPS |
|
|
Text Classification (SP)
|
100% |
509
679.8 IPS |
|
|
Text Classification (HP)
|
100% |
2764
3.69 KIPS |
|
|
Text Classification (Q)
|
93% |
2753
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2254
39.0 IPS |
