MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
7790
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2024 05:02 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5614
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
5953
1.11 KIPS |
|
|
Image Classification (I8)
|
99% |
5468
1.02 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2213
37.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2269
37.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2180
36.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
42988
52.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
45952
55.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
44566
54.0 IPS |
|
|
Object Detection (F32)
|
100% |
3707
276.8 IPS |
|
|
Object Detection (F16)
|
100% |
4535
338.6 IPS |
|
|
Object Detection (I8)
|
97% |
4049
302.3 IPS |
|
|
Face Detection (F32)
|
100% |
15202
180.8 IPS |
|
|
Face Detection (F16)
|
98% |
18484
219.8 IPS |
|
|
Face Detection (I8)
|
97% |
17997
214.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
26745
207.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
28885
224.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
27279
211.6 IPS |
|
|
Style Transfer (F32)
|
100% |
88083
115.9 IPS |
|
|
Style Transfer (F16)
|
100% |
101059
132.9 IPS |
|
|
Style Transfer (I8)
|
100% |
98742
129.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11441
408.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10737
383.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
10257
366.3 IPS |
|
|
Text Classification (F32)
|
100% |
740
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
735
1.06 KIPS |
|
|
Text Classification (I8)
|
96% |
632
909.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1059
19.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
990
18.2 IPS |
