MacBook Pro (14-inch, 2023)
Geekbench ML Score
3492
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 06:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1463
273.7 IPS |
|
|
Image Classification (F16)
|
100% |
1802
337.2 IPS |
|
|
Image Classification (I8)
|
99% |
1821
340.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
880
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
883
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6080
7.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
14273
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14262
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1470
109.7 IPS |
|
|
Object Detection (F16)
|
100% |
1951
145.7 IPS |
|
|
Object Detection (I8)
|
97% |
1469
109.7 IPS |
|
|
Face Detection (F32)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
4286
51.0 IPS |
|
|
Face Detection (I8)
|
97% |
4288
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5457
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8626
66.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8575
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16511
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
25886
34.1 IPS |
|
|
Style Transfer (I8)
|
100% |
25858
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3915
139.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5033
179.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4973
177.6 IPS |
|
|
Text Classification (F32)
|
100% |
2140
3.08 KIPS |
|
|
Text Classification (F16)
|
100% |
3441
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3379
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1120
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1547
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1123
20.7 IPS |
