MacBook Pro (14-inch, 2021)
Geekbench ML Score
3903
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 29 2025 11:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1346
251.8 IPS |
|
|
Image Classification (F16)
|
100% |
2007
375.6 IPS |
|
|
Image Classification (I8)
|
99% |
2023
378.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
835
13.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
927
15.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
10387
12.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16771
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
21421
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1450
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
2033
151.8 IPS |
|
|
Object Detection (I8)
|
97% |
1445
107.8 IPS |
|
|
Face Detection (F32)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (F16)
|
97% |
5040
59.9 IPS |
|
|
Face Detection (I8)
|
97% |
5042
59.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5735
44.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10313
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9887
76.7 IPS |
|
|
Style Transfer (F32)
|
100% |
22093
29.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32736
43.1 IPS |
|
|
Style Transfer (I8)
|
100% |
32195
42.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4549
162.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6299
225.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6380
227.9 IPS |
|
|
Text Classification (F32)
|
100% |
1847
2.65 KIPS |
|
|
Text Classification (F16)
|
100% |
3722
5.35 KIPS |
|
|
Text Classification (I8)
|
96% |
3759
5.40 KIPS |
|
|
Machine Translation (F32)
|
100% |
1138
20.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1410
25.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1118
20.6 IPS |
