MacBook Pro (13-inch Late 2020)
Geekbench AI Score
4944
Single Precision Score
5747
Half Precision Score
5132
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 05:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
2370
440.8 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.4 IPS |
|
|
Image Classification (Q)
|
97% |
1987
370.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2756
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3648
59.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3678
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16819
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18700
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
17175
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (Q)
|
91% |
2115
169.0 IPS |
|
|
Face Detection (SP)
|
100% |
6766
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
5873
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12111
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13622
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10629
83.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29330
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35293
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32902
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6510
240.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7288
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5395
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3933
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
833
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1082
18.7 IPS |
