MacBook Pro (13-inch Late 2020)
Geekbench AI Score
3022
Single Precision Score
4634
Half Precision Score
4602
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | October 17 2024 07:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5077a) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
1186
220.5 IPS |
|
|
Image Classification (Q)
|
99% |
2166
403.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1375
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1785
28.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
2144
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13619
15.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
11877
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2420
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
1773
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
2364
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
3872
46.0 IPS |
|
|
Face Detection (Q)
|
100% |
3155
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5778
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10440
80.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11045
85.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16662
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
26049
33.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26043
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2590
95.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3327
123.3 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3969
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3956
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3575
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3654
63.1 IPS |
