MacBook Pro (14-inch, 2023)
Geekbench ML Score
4556
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 12:18 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1385
259.2 IPS |
|
|
Image Classification (F16)
|
100% |
2244
419.9 IPS |
|
|
Image Classification (I8)
|
99% |
2232
417.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1056
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1341
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1340
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12595
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23760
28.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
23871
28.9 IPS |
|
|
Object Detection (F32)
|
100% |
1561
116.6 IPS |
|
|
Object Detection (F16)
|
100% |
2345
175.1 IPS |
|
|
Object Detection (I8)
|
97% |
1562
116.6 IPS |
|
|
Face Detection (F32)
|
100% |
3672
43.7 IPS |
|
|
Face Detection (F16)
|
97% |
5670
67.4 IPS |
|
|
Face Detection (I8)
|
97% |
5694
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6421
49.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11826
91.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
12295
95.4 IPS |
|
|
Style Transfer (F32)
|
100% |
24247
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
37095
48.8 IPS |
|
|
Style Transfer (I8)
|
100% |
38129
50.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5259
187.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7162
255.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7153
255.4 IPS |
|
|
Text Classification (F32)
|
100% |
2118
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3643
5.24 KIPS |
|
|
Text Classification (I8)
|
96% |
3650
5.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1468
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1469
27.0 IPS |
