MacBook Pro (14-inch, 2023)
Geekbench ML Score
8066
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 08:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4630
866.3 IPS |
|
|
Image Classification (F16)
|
100% |
4746
888.1 IPS |
|
|
Image Classification (I8)
|
99% |
4396
822.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1968
32.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2037
34.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2061
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
41454
50.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
43832
53.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
42391
51.3 IPS |
|
|
Object Detection (F32)
|
100% |
3294
245.9 IPS |
|
|
Object Detection (F16)
|
100% |
3311
247.2 IPS |
|
|
Object Detection (I8)
|
97% |
3170
236.7 IPS |
|
|
Face Detection (F32)
|
100% |
14285
169.8 IPS |
|
|
Face Detection (F16)
|
98% |
15114
179.7 IPS |
|
|
Face Detection (I8)
|
97% |
14947
177.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
24525
190.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
25302
196.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
23463
182.0 IPS |
|
|
Style Transfer (F32)
|
100% |
73904
97.2 IPS |
|
|
Style Transfer (F16)
|
100% |
80591
106.0 IPS |
|
|
Style Transfer (I8)
|
100% |
71789
94.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11850
423.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
12610
450.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11599
414.2 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3553
5.11 KIPS |
|
|
Text Classification (I8)
|
96% |
3600
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
984
18.1 IPS |
|
|
Machine Translation (F16)
|
100% |
981
18.0 IPS |
|
|
Machine Translation (I8)
|
99% |
821
15.1 IPS |
