MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4094
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 01:27 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1598
299.1 IPS |
|
|
Image Classification (F16)
|
100% |
2072
387.8 IPS |
|
|
Image Classification (I8)
|
99% |
2068
387.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
964
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
977
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8082
9.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
15549
18.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16285
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1686
125.8 IPS |
|
|
Object Detection (F16)
|
100% |
2245
167.6 IPS |
|
|
Object Detection (I8)
|
97% |
1684
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
3217
38.2 IPS |
|
|
Face Detection (F16)
|
97% |
4927
58.6 IPS |
|
|
Face Detection (I8)
|
97% |
4952
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
6653
51.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
9595
74.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9588
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
20888
27.5 IPS |
|
|
Style Transfer (F16)
|
100% |
30483
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30545
40.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5058
180.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6136
219.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6157
219.9 IPS |
|
|
Text Classification (F32)
|
100% |
2591
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4144
5.96 KIPS |
|
|
Text Classification (I8)
|
96% |
4181
6.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1441
26.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1666
30.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1420
26.1 IPS |
