MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4252
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:44 AM |
| Views | 7 |
| Notes | MacBook Pro (14-inch, M3, Nov 2023)/M3 8Core CPU/10Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1654
309.4 IPS |
|
|
Image Classification (F16)
|
100% |
2226
416.5 IPS |
|
|
Image Classification (I8)
|
99% |
2240
419.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1077
18.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1039
17.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1033
17.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8280
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16360
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16370
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1748
130.5 IPS |
|
|
Object Detection (F16)
|
100% |
2388
178.3 IPS |
|
|
Object Detection (I8)
|
97% |
1754
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (F16)
|
97% |
5168
61.4 IPS |
|
|
Face Detection (I8)
|
97% |
5139
61.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6860
53.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10092
78.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10036
77.8 IPS |
|
|
Style Transfer (F32)
|
100% |
21243
27.9 IPS |
|
|
Style Transfer (F16)
|
100% |
31416
41.3 IPS |
|
|
Style Transfer (I8)
|
100% |
31494
41.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5065
180.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6256
223.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6236
222.7 IPS |
|
|
Text Classification (F32)
|
100% |
2587
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4317
6.20 KIPS |
|
|
Text Classification (I8)
|
96% |
4326
6.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1500
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1741
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1494
27.5 IPS |
