MacBook Pro (14-inch, 2023)
Geekbench ML Score
3476
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 11:35 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 | 3.48 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1452
271.7 IPS |
|
|
Image Classification (F16)
|
100% |
1802
337.1 IPS |
|
|
Image Classification (I8)
|
99% |
1803
337.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
900
15.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
881
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6046
7.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
14303
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14279
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1473
110.0 IPS |
|
|
Object Detection (F16)
|
100% |
1989
148.5 IPS |
|
|
Object Detection (I8)
|
97% |
1480
110.5 IPS |
|
|
Face Detection (F32)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
4305
51.2 IPS |
|
|
Face Detection (I8)
|
97% |
4308
51.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5489
42.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8585
66.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8565
66.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16525
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26193
34.5 IPS |
|
|
Style Transfer (I8)
|
100% |
26183
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3947
141.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4892
174.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4902
175.1 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3211
4.61 KIPS |
|
|
Text Classification (I8)
|
96% |
3314
4.76 KIPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1546
28.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1114
20.5 IPS |
