MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2836
Single Precision Score
4931
Half Precision Score
4103
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Tom34772 |
| Upload Date | August 16 2024 09:49 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.6 IPS |
|
|
Image Classification (Q)
|
99% |
2179
406.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2185
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13300
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
8409
9.85 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (Q)
|
100% |
2691
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2922
22.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10861
83.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
10220
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13153
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25490
32.8 IPS |
|
|
Style Transfer (Q)
|
100% |
20469
26.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3692
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4389
162.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3302
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3857
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2316
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3155
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2737
47.3 IPS |
