MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4093
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 12:22 PM |
| Views | 2 |
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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1603
300.0 IPS |
|
|
Image Classification (F16)
|
100% |
2085
390.2 IPS |
|
|
Image Classification (I8)
|
99% |
2076
388.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1017
17.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
972
16.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
978
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8167
9.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
16206
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
16289
19.7 IPS |
|
|
Object Detection (F32)
|
100% |
1675
125.0 IPS |
|
|
Object Detection (F16)
|
100% |
2236
166.9 IPS |
|
|
Object Detection (I8)
|
97% |
1679
125.4 IPS |
|
|
Face Detection (F32)
|
100% |
3243
38.6 IPS |
|
|
Face Detection (F16)
|
97% |
4945
58.8 IPS |
|
|
Face Detection (I8)
|
97% |
4971
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6622
51.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9541
74.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9520
73.8 IPS |
|
|
Style Transfer (F32)
|
100% |
20692
27.2 IPS |
|
|
Style Transfer (F16)
|
100% |
30403
40.0 IPS |
|
|
Style Transfer (I8)
|
100% |
30502
40.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5087
181.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6058
216.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6012
214.7 IPS |
|
|
Text Classification (F32)
|
100% |
2584
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4132
5.94 KIPS |
|
|
Text Classification (I8)
|
96% |
4172
6.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1420
26.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1663
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1419
26.1 IPS |
