MacBook Pro (16-inch, 2023)
Geekbench ML Score
4540
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | January 06 2025 05:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.46 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% |
1371
256.5 IPS |
|
|
Image Classification (F16)
|
100% |
2220
415.3 IPS |
|
|
Image Classification (I8)
|
99% |
2247
420.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1032
17.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1353
22.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
12571
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
23791
28.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
24046
29.1 IPS |
|
|
Object Detection (F32)
|
100% |
1555
116.1 IPS |
|
|
Object Detection (F16)
|
100% |
2334
174.2 IPS |
|
|
Object Detection (I8)
|
97% |
1544
115.3 IPS |
|
|
Face Detection (F32)
|
100% |
3343
39.7 IPS |
|
|
Face Detection (F16)
|
97% |
5750
68.4 IPS |
|
|
Face Detection (I8)
|
97% |
5693
67.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6069
47.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11982
92.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12367
95.9 IPS |
|
|
Style Transfer (F32)
|
100% |
24814
32.6 IPS |
|
|
Style Transfer (F16)
|
100% |
38030
50.0 IPS |
|
|
Style Transfer (I8)
|
100% |
39189
51.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5377
192.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7161
255.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7233
258.3 IPS |
|
|
Text Classification (F32)
|
100% |
2092
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3490
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3643
5.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1487
27.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1692
31.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1473
27.1 IPS |
