MacBook Pro (14-inch, 2023)
Geekbench ML Score
3444
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:30 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1450
271.4 IPS |
|
|
Image Classification (F16)
|
100% |
1812
339.2 IPS |
|
|
Image Classification (I8)
|
99% |
1799
336.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
879
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
872
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5951
7.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
14163
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14214
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1456
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1961
146.4 IPS |
|
|
Object Detection (I8)
|
97% |
1467
109.5 IPS |
|
|
Face Detection (F32)
|
100% |
2862
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4228
50.3 IPS |
|
|
Face Detection (I8)
|
97% |
4286
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5448
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8475
65.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8293
64.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16692
22.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25964
34.2 IPS |
|
|
Style Transfer (I8)
|
100% |
26022
34.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3934
140.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4874
174.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4832
172.6 IPS |
|
|
Text Classification (F32)
|
100% |
2065
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3188
4.58 KIPS |
|
|
Text Classification (I8)
|
96% |
3187
4.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1115
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1542
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1085
20.0 IPS |
