MacBook Pro (14-inch, 2021)
Geekbench ML Score
8089
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
3772
705.8 IPS |
|
|
Image Classification (F16)
|
100% |
6892
1.29 KIPS |
|
|
Image Classification (I8)
|
99% |
7334
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1267
21.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3336
55.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
3346
55.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
31439
38.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62242
75.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
63254
76.6 IPS |
|
|
Object Detection (F32)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (F16)
|
100% |
4517
337.2 IPS |
|
|
Object Detection (I8)
|
97% |
2694
201.1 IPS |
|
|
Face Detection (F32)
|
100% |
11412
135.7 IPS |
|
|
Face Detection (F16)
|
97% |
10727
127.5 IPS |
|
|
Face Detection (I8)
|
96% |
9763
116.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
19425
150.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
33931
263.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
34748
269.5 IPS |
|
|
Style Transfer (F32)
|
100% |
51598
67.9 IPS |
|
|
Style Transfer (F16)
|
100% |
110986
146.0 IPS |
|
|
Style Transfer (I8)
|
100% |
105513
138.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9381
335.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16040
572.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15515
554.1 IPS |
|
|
Text Classification (F32)
|
100% |
816
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2013
2.89 KIPS |
|
|
Text Classification (I8)
|
96% |
1975
2.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
769
14.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2320
42.7 IPS |
|
|
Machine Translation (I8)
|
99% |
667
12.3 IPS |
