MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
4665
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 25 2025 12:15 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 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 | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1540
288.3 IPS |
|
|
Image Classification (F16)
|
100% |
2893
541.4 IPS |
|
|
Image Classification (I8)
|
99% |
2939
549.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1171
19.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1525
25.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1521
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8135
9.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
16777
20.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
16759
20.3 IPS |
|
|
Object Detection (F32)
|
100% |
1640
122.4 IPS |
|
|
Object Detection (F16)
|
100% |
2834
211.6 IPS |
|
|
Object Detection (I8)
|
97% |
1643
122.6 IPS |
|
|
Face Detection (F32)
|
100% |
3675
43.7 IPS |
|
|
Face Detection (F16)
|
97% |
6896
82.0 IPS |
|
|
Face Detection (I8)
|
96% |
6915
82.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7092
55.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
12866
99.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
12688
98.4 IPS |
|
|
Style Transfer (F32)
|
100% |
21590
28.4 IPS |
|
|
Style Transfer (F16)
|
100% |
33080
43.5 IPS |
|
|
Style Transfer (I8)
|
100% |
33063
43.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5135
183.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5794
206.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5789
206.7 IPS |
|
|
Text Classification (F32)
|
100% |
2732
3.93 KIPS |
|
|
Text Classification (F16)
|
100% |
4514
6.49 KIPS |
|
|
Text Classification (I8)
|
96% |
4544
6.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1460
26.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1919
35.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1453
26.7 IPS |
