MacBook Pro (14-inch, 2021)
Geekbench ML Score
3734
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 14 2025 03:54 AM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.06 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% |
1239
231.9 IPS |
|
|
Image Classification (F16)
|
100% |
1980
370.5 IPS |
|
|
Image Classification (I8)
|
99% |
1975
369.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
724
12.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
886
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
877
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
9630
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
16081
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
15684
19.0 IPS |
|
|
Object Detection (F32)
|
100% |
1334
99.6 IPS |
|
|
Object Detection (F16)
|
100% |
1740
129.9 IPS |
|
|
Object Detection (I8)
|
97% |
1395
104.1 IPS |
|
|
Face Detection (F32)
|
100% |
3106
36.9 IPS |
|
|
Face Detection (F16)
|
97% |
4650
55.3 IPS |
|
|
Face Detection (I8)
|
97% |
5111
60.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5767
44.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10411
80.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10008
77.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21769
28.6 IPS |
|
|
Style Transfer (F16)
|
100% |
32247
42.4 IPS |
|
|
Style Transfer (I8)
|
100% |
32133
42.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4526
161.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6229
222.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6347
226.7 IPS |
|
|
Text Classification (F32)
|
100% |
1877
2.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3461
4.97 KIPS |
|
|
Text Classification (I8)
|
96% |
3433
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1058
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1399
25.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1164
21.4 IPS |
