MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10177
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 05:03 AM |
| Views | 5 |
| Notes | MacBook Pro (16-inch, Nov 2023)/M3 Pro 12Core CPU/18Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
5589
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
7077
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
7705
1.44 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2239
37.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2208
36.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2203
36.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
42613
51.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
94973
115.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
97057
117.5 IPS |
|
|
Object Detection (F32)
|
100% |
3233
241.3 IPS |
|
|
Object Detection (F16)
|
100% |
4870
363.6 IPS |
|
|
Object Detection (I8)
|
97% |
4128
308.2 IPS |
|
|
Face Detection (F32)
|
100% |
15147
180.1 IPS |
|
|
Face Detection (F16)
|
97% |
12870
153.0 IPS |
|
|
Face Detection (I8)
|
96% |
12841
152.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
27060
209.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
36926
286.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
39700
307.9 IPS |
|
|
Style Transfer (F32)
|
100% |
89050
117.1 IPS |
|
|
Style Transfer (F16)
|
100% |
147936
194.6 IPS |
|
|
Style Transfer (I8)
|
100% |
148109
194.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10427
372.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18691
667.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20657
737.7 IPS |
|
|
Text Classification (F32)
|
100% |
495
712.1 IPS |
|
|
Text Classification (F16)
|
100% |
3683
5.29 KIPS |
|
|
Text Classification (I8)
|
96% |
3869
5.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
1123
20.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3129
57.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1036
19.1 IPS |
