MacBook Pro (14-inch, 2023)
Geekbench ML Score
8695
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2024 01:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 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% |
4802
898.6 IPS |
|
|
Image Classification (F16)
|
100% |
6843
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
7637
1.43 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2047
34.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1817
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1842
30.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
34244
41.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80850
97.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
80687
97.7 IPS |
|
|
Object Detection (F32)
|
100% |
3127
233.4 IPS |
|
|
Object Detection (F16)
|
100% |
3730
278.5 IPS |
|
|
Object Detection (I8)
|
97% |
3042
227.1 IPS |
|
|
Face Detection (F32)
|
100% |
13886
165.1 IPS |
|
|
Face Detection (F16)
|
97% |
13842
164.6 IPS |
|
|
Face Detection (I8)
|
96% |
13964
166.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
22330
173.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
28808
223.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
36431
282.5 IPS |
|
|
Style Transfer (F32)
|
100% |
63352
83.3 IPS |
|
|
Style Transfer (F16)
|
100% |
138164
181.7 IPS |
|
|
Style Transfer (I8)
|
100% |
135454
178.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9154
326.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17773
634.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16782
599.3 IPS |
|
|
Text Classification (F32)
|
100% |
456
655.0 IPS |
|
|
Text Classification (F16)
|
100% |
2728
3.92 KIPS |
|
|
Text Classification (I8)
|
96% |
2833
4.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
827
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2340
43.1 IPS |
|
|
Machine Translation (I8)
|
99% |
797
14.7 IPS |
