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
| Upload Date | May 09 2024 05:41 AM |
| Views | 5 |
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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1661
310.9 IPS |
|
|
Image Classification (F16)
|
100% |
2258
422.6 IPS |
|
|
Image Classification (I8)
|
99% |
2265
423.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1048
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1012
16.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1015
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
8269
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16400
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16381
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1756
131.1 IPS |
|
|
Object Detection (F16)
|
100% |
2383
177.9 IPS |
|
|
Object Detection (I8)
|
97% |
1753
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (F16)
|
97% |
5221
62.1 IPS |
|
|
Face Detection (I8)
|
97% |
5129
61.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6901
53.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10076
78.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10078
78.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21268
28.0 IPS |
|
|
Style Transfer (F16)
|
100% |
31441
41.4 IPS |
|
|
Style Transfer (I8)
|
100% |
31427
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5043
180.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6225
222.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6234
222.6 IPS |
|
|
Text Classification (F32)
|
100% |
2587
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4361
6.27 KIPS |
|
|
Text Classification (I8)
|
96% |
4361
6.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1505
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1745
32.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1506
27.7 IPS |
