MacBook Pro (14-inch, 2021)
Geekbench ML Score
7611
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | January 05 2025 01:46 AM |
| Views | 3 |
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% |
3595
672.7 IPS |
|
|
Image Classification (F16)
|
100% |
6501
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6988
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1505
25.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1395
23.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
29766
36.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
60601
73.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
60593
73.4 IPS |
|
|
Object Detection (F32)
|
100% |
2554
190.7 IPS |
|
|
Object Detection (F16)
|
100% |
3543
264.5 IPS |
|
|
Object Detection (I8)
|
97% |
2648
197.7 IPS |
|
|
Face Detection (F32)
|
100% |
11194
133.1 IPS |
|
|
Face Detection (F16)
|
97% |
10275
122.2 IPS |
|
|
Face Detection (I8)
|
96% |
10255
121.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18332
142.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
34298
266.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
40468
313.8 IPS |
|
|
Style Transfer (F32)
|
100% |
50361
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
102974
135.5 IPS |
|
|
Style Transfer (I8)
|
100% |
98977
130.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7694
274.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18793
671.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19545
698.0 IPS |
|
|
Text Classification (F32)
|
100% |
1818
2.61 KIPS |
|
|
Text Classification (F16)
|
100% |
3006
4.32 KIPS |
|
|
Text Classification (I8)
|
96% |
3042
4.37 KIPS |
|
|
Machine Translation (F32)
|
100% |
636
11.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1035
19.1 IPS |
|
|
Machine Translation (I8)
|
99% |
475
8.74 IPS |
