MacBook Pro (14-inch, 2021)
Geekbench ML Score
7352
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 29 2025 03:45 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,3 |
| Motherboard | MacBookPro18,3 |
| CPU Information | |
|---|---|
| Name | Apple M1 Pro |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 Pro |
| Base Frequency | 3.12 GHz |
| Cluster 1 | 6 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% |
2989
559.3 IPS |
|
|
Image Classification (F16)
|
100% |
6006
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
6303
1.18 KIPS |
|
|
Image Segmentation (F32)
|
100% |
945
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1114
18.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1212
20.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
25115
30.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
63366
76.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
64132
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
2217
165.5 IPS |
|
|
Object Detection (F16)
|
100% |
3692
275.6 IPS |
|
|
Object Detection (I8)
|
97% |
2506
187.1 IPS |
|
|
Face Detection (F32)
|
100% |
10134
120.5 IPS |
|
|
Face Detection (F16)
|
97% |
10587
125.9 IPS |
|
|
Face Detection (I8)
|
96% |
10383
123.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
15898
123.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
28407
220.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
28200
218.7 IPS |
|
|
Style Transfer (F32)
|
100% |
44042
57.9 IPS |
|
|
Style Transfer (F16)
|
100% |
102733
135.1 IPS |
|
|
Style Transfer (I8)
|
100% |
105717
139.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6324
225.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22312
796.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17674
631.2 IPS |
|
|
Text Classification (F32)
|
100% |
2100
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3393
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3835
5.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
787
14.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1114
20.5 IPS |
|
|
Machine Translation (I8)
|
99% |
804
14.8 IPS |
