MacBook Pro (14-inch, 2023)
Geekbench ML Score
4547
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 07 2025 12:16 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% |
1387
259.5 IPS |
|
|
Image Classification (F16)
|
100% |
2246
420.3 IPS |
|
|
Image Classification (I8)
|
99% |
2235
418.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1055
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1331
22.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1338
22.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12602
15.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
23238
28.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
23168
28.1 IPS |
|
|
Object Detection (F32)
|
100% |
1560
116.5 IPS |
|
|
Object Detection (F16)
|
100% |
2365
176.5 IPS |
|
|
Object Detection (I8)
|
97% |
1555
116.1 IPS |
|
|
Face Detection (F32)
|
100% |
3563
42.4 IPS |
|
|
Face Detection (F16)
|
97% |
5774
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5622
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6406
49.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
11815
91.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
12020
93.2 IPS |
|
|
Style Transfer (F32)
|
100% |
24279
31.9 IPS |
|
|
Style Transfer (F16)
|
100% |
36418
47.9 IPS |
|
|
Style Transfer (I8)
|
100% |
38006
50.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5251
187.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7183
256.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7140
255.0 IPS |
|
|
Text Classification (F32)
|
100% |
2154
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3670
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3664
5.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
1471
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1730
31.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1512
27.8 IPS |
