MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4133
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 21 2024 03:57 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1636
306.2 IPS |
|
|
Image Classification (F16)
|
100% |
2089
390.9 IPS |
|
|
Image Classification (I8)
|
99% |
2099
392.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1044
17.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1014
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8310
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16308
19.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
16364
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1684
125.7 IPS |
|
|
Object Detection (F16)
|
100% |
2265
169.1 IPS |
|
|
Object Detection (I8)
|
97% |
1692
126.4 IPS |
|
|
Face Detection (F32)
|
100% |
3270
38.9 IPS |
|
|
Face Detection (F16)
|
97% |
5000
59.5 IPS |
|
|
Face Detection (I8)
|
97% |
4949
58.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6694
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9566
74.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9595
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20885
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30661
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
30448
40.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5135
183.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6233
222.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6031
215.4 IPS |
|
|
Text Classification (F32)
|
100% |
2581
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4192
6.03 KIPS |
|
|
Text Classification (I8)
|
96% |
4117
5.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1437
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1697
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1425
26.2 IPS |
