MacBook Pro (14-inch, 2021)
Geekbench ML Score
8365
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | January 05 2025 01:40 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3570
668.1 IPS |
|
|
Image Classification (F16)
|
100% |
6548
1.23 KIPS |
|
|
Image Classification (I8)
|
99% |
7082
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1395
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1523
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
30551
37.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
62069
75.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
62203
75.3 IPS |
|
|
Object Detection (F32)
|
100% |
2851
212.8 IPS |
|
|
Object Detection (F16)
|
100% |
4296
320.7 IPS |
|
|
Object Detection (I8)
|
97% |
2885
215.4 IPS |
|
|
Face Detection (F32)
|
100% |
11449
136.1 IPS |
|
|
Face Detection (F16)
|
97% |
11175
132.9 IPS |
|
|
Face Detection (I8)
|
96% |
11327
134.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
18814
145.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
41692
323.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43511
337.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50844
66.9 IPS |
|
|
Style Transfer (F16)
|
100% |
111947
147.3 IPS |
|
|
Style Transfer (I8)
|
100% |
117359
154.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7709
275.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16525
590.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22795
814.1 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3559
5.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3511
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
814
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1252
23.0 IPS |
|
|
Machine Translation (I8)
|
99% |
832
15.3 IPS |
