MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
12585
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 26 2024 09:13 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5247
981.8 IPS |
|
|
Image Classification (F16)
|
100% |
12913
2.42 KIPS |
|
|
Image Classification (I8)
|
99% |
14458
2.71 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1999
33.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2469
41.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2468
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
42517
51.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
108461
131.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
110345
133.6 IPS |
|
|
Object Detection (F32)
|
100% |
4328
323.1 IPS |
|
|
Object Detection (F16)
|
100% |
6992
522.0 IPS |
|
|
Object Detection (I8)
|
97% |
3103
231.7 IPS |
|
|
Face Detection (F32)
|
100% |
13818
164.3 IPS |
|
|
Face Detection (F16)
|
97% |
21140
251.4 IPS |
|
|
Face Detection (I8)
|
96% |
22702
269.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26213
203.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
56253
436.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
57744
447.8 IPS |
|
|
Style Transfer (F32)
|
100% |
86900
114.3 IPS |
|
|
Style Transfer (F16)
|
100% |
157725
207.5 IPS |
|
|
Style Transfer (I8)
|
100% |
158563
208.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9768
348.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
38904
1.39 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
37996
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2560
3.68 KIPS |
|
|
Text Classification (F16)
|
100% |
4414
6.34 KIPS |
|
|
Text Classification (I8)
|
96% |
4399
6.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1583
29.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1121
20.6 IPS |
