MacBook Pro (16-inch, 2023)
Geekbench ML Score
4526
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | thomrou24 |
| Upload Date | February 03 2025 05:08 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.47 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1362
254.8 IPS |
|
|
Image Classification (F16)
|
100% |
2200
411.7 IPS |
|
|
Image Classification (I8)
|
99% |
2235
418.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1050
17.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1335
22.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1278
21.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12540
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
23330
28.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
23284
28.2 IPS |
|
|
Object Detection (F32)
|
100% |
1576
117.7 IPS |
|
|
Object Detection (F16)
|
100% |
2387
178.2 IPS |
|
|
Object Detection (I8)
|
97% |
1567
117.0 IPS |
|
|
Face Detection (F32)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (F16)
|
97% |
5500
65.4 IPS |
|
|
Face Detection (I8)
|
97% |
5536
65.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
6448
50.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11737
91.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
12201
94.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23995
31.6 IPS |
|
|
Style Transfer (F16)
|
100% |
37906
49.9 IPS |
|
|
Style Transfer (I8)
|
100% |
38037
50.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5245
187.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7401
264.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7301
260.7 IPS |
|
|
Text Classification (F32)
|
100% |
2155
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3658
5.26 KIPS |
|
|
Text Classification (I8)
|
96% |
3624
5.21 KIPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1637
30.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1435
26.4 IPS |
