MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2832
Single Precision Score
4263
Half Precision Score
3711
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 16 2024 03:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
245.0 IPS |
|
|
Image Classification (HP)
|
100% |
1696
315.3 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1149
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1675
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5860
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13551
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11740
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1954
155.6 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2434
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
3945
46.9 IPS |
|
|
Face Detection (Q)
|
100% |
2647
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5249
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8198
63.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
6177
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15580
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24750
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20863
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3372
124.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4299
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3593
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1763
30.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3060
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3062
52.9 IPS |
