MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4135
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2024 05:04 PM |
| Views | 2 |
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, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 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% |
2085
390.1 IPS |
|
|
Image Classification (I8)
|
99% |
2103
393.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1052
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1009
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1006
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8197
9.93 IPS |
|
|
Pose Estimation (F16)
|
100% |
16327
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16294
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1675
125.1 IPS |
|
|
Object Detection (F16)
|
100% |
2261
168.8 IPS |
|
|
Object Detection (I8)
|
97% |
1673
124.9 IPS |
|
|
Face Detection (F32)
|
100% |
3293
39.2 IPS |
|
|
Face Detection (F16)
|
97% |
4967
59.1 IPS |
|
|
Face Detection (I8)
|
97% |
4986
59.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6686
51.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9606
74.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9609
74.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21067
27.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30477
40.1 IPS |
|
|
Style Transfer (I8)
|
100% |
30629
40.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5123
183.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6012
214.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6019
215.0 IPS |
|
|
Text Classification (F32)
|
100% |
2585
3.72 KIPS |
|
|
Text Classification (F16)
|
100% |
4176
6.00 KIPS |
|
|
Text Classification (I8)
|
96% |
4140
5.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1456
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1700
31.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1456
26.8 IPS |
