MacBook Pro (14-inch, 2023)
Geekbench ML Score
9182
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 11:39 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
4943
925.1 IPS |
|
|
Image Classification (F16)
|
100% |
7071
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7783
1.46 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2110
35.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1802
30.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1817
30.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
41358
50.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
83580
101.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
84625
102.5 IPS |
|
|
Object Detection (F32)
|
100% |
3249
242.6 IPS |
|
|
Object Detection (F16)
|
100% |
4148
309.7 IPS |
|
|
Object Detection (I8)
|
97% |
3178
237.3 IPS |
|
|
Face Detection (F32)
|
100% |
14768
175.6 IPS |
|
|
Face Detection (F16)
|
97% |
10894
129.5 IPS |
|
|
Face Detection (I8)
|
96% |
10980
130.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
24493
189.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
40175
311.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
42076
326.3 IPS |
|
|
Style Transfer (F32)
|
100% |
74107
97.5 IPS |
|
|
Style Transfer (F16)
|
100% |
130064
171.1 IPS |
|
|
Style Transfer (I8)
|
100% |
129018
169.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11699
417.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18167
648.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18301
653.6 IPS |
|
|
Text Classification (F32)
|
100% |
627
901.2 IPS |
|
|
Text Classification (F16)
|
100% |
2774
3.99 KIPS |
|
|
Text Classification (I8)
|
96% |
2772
3.98 KIPS |
|
|
Machine Translation (F32)
|
100% |
958
17.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2360
43.4 IPS |
|
|
Machine Translation (I8)
|
99% |
852
15.7 IPS |
