MacBook Pro (14-inch, 2023)
Geekbench ML Score
11165
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Bishop_Swift |
| Upload Date | August 16 2024 08:41 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4595
859.9 IPS |
|
|
Image Classification (F16)
|
100% |
10954
2.05 KIPS |
|
|
Image Classification (I8)
|
99% |
12147
2.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2101
35.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2210
36.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2207
36.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
41382
50.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
93128
112.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
94388
114.3 IPS |
|
|
Object Detection (F32)
|
100% |
3021
225.6 IPS |
|
|
Object Detection (F16)
|
100% |
3884
290.0 IPS |
|
|
Object Detection (I8)
|
97% |
3172
236.8 IPS |
|
|
Face Detection (F32)
|
100% |
14384
171.0 IPS |
|
|
Face Detection (F16)
|
97% |
20242
240.7 IPS |
|
|
Face Detection (I8)
|
96% |
20425
242.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
23972
185.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
48320
374.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
50979
395.3 IPS |
|
|
Style Transfer (F32)
|
100% |
74014
97.4 IPS |
|
|
Style Transfer (F16)
|
100% |
147423
193.9 IPS |
|
|
Style Transfer (I8)
|
100% |
145026
190.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
12255
437.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33303
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
27758
991.3 IPS |
|
|
Text Classification (F32)
|
100% |
2112
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3586
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3568
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
988
18.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2334
43.0 IPS |
|
|
Machine Translation (I8)
|
99% |
820
15.1 IPS |
