MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4146
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:51 AM |
| Views | 6 |
| Notes | MacBook Pro (14-inch, M3 Pro or M3 Max, Nov 2023)/M3 Pro 11Core CPU/14Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1633
305.6 IPS |
|
|
Image Classification (F16)
|
100% |
2096
392.2 IPS |
|
|
Image Classification (I8)
|
99% |
2098
392.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1057
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1017
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1016
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8278
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16342
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16315
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1674
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
2262
168.9 IPS |
|
|
Object Detection (I8)
|
97% |
1676
125.1 IPS |
|
|
Face Detection (F32)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (F16)
|
97% |
5068
60.3 IPS |
|
|
Face Detection (I8)
|
97% |
5060
60.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6718
52.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9658
74.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9652
74.9 IPS |
|
|
Style Transfer (F32)
|
100% |
21090
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30602
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30093
39.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5122
182.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6022
215.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5853
209.0 IPS |
|
|
Text Classification (F32)
|
100% |
2597
3.73 KIPS |
|
|
Text Classification (F16)
|
100% |
4240
6.09 KIPS |
|
|
Text Classification (I8)
|
96% |
4190
6.02 KIPS |
|
|
Machine Translation (F32)
|
100% |
1446
26.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1703
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1457
26.8 IPS |
