MacBook Pro (13-inch Late 2020)
Geekbench AI Score
2879
Single Precision Score
14963
Half Precision Score
14845
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | starkAhmed43 |
| Upload Date | February 25 2025 05:32 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
6329
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
6624
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8383
135.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
8276
134.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5896
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
67761
79.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
62561
73.4 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.5 IPS |
|
|
Object Detection (HP)
|
99% |
7165
569.9 IPS |
|
|
Object Detection (Q)
|
91% |
6536
522.2 IPS |
|
|
Face Detection (SP)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
12960
154.0 IPS |
|
|
Face Detection (Q)
|
100% |
12882
153.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4442
34.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
43814
337.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
47107
364.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15762
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
118234
152.0 IPS |
|
|
Style Transfer (Q)
|
100% |
123731
159.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3689
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23373
863.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23933
886.7 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3610
62.4 IPS |
