MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10242
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | loismustdie1 |
| Upload Date | March 22 2024 07:25 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 12 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6764
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6730
1.26 KIPS |
|
|
Image Classification (I8)
|
99% |
6884
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3078
51.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2489
41.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2488
41.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
84170
101.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93003
112.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
94968
115.0 IPS |
|
|
Object Detection (F32)
|
100% |
4146
309.5 IPS |
|
|
Object Detection (F16)
|
100% |
3872
289.1 IPS |
|
|
Object Detection (I8)
|
97% |
4721
352.5 IPS |
|
|
Face Detection (F32)
|
100% |
24436
290.6 IPS |
|
|
Face Detection (F16)
|
97% |
12008
142.8 IPS |
|
|
Face Detection (I8)
|
96% |
12084
143.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
25759
199.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
36488
283.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
37757
292.8 IPS |
|
|
Style Transfer (F32)
|
100% |
116765
153.6 IPS |
|
|
Style Transfer (F16)
|
100% |
132333
174.1 IPS |
|
|
Style Transfer (I8)
|
100% |
141060
185.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11862
423.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16327
583.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16057
573.4 IPS |
|
|
Text Classification (F32)
|
100% |
413
593.4 IPS |
|
|
Text Classification (F16)
|
100% |
2928
4.21 KIPS |
|
|
Text Classification (I8)
|
96% |
2822
4.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
771
14.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3506
64.5 IPS |
|
|
Machine Translation (I8)
|
99% |
775
14.3 IPS |
