MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
13486
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 10 2024 02:21 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 4.05 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% |
6440
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6389
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6730
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3091
51.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3265
54.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3270
54.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
83365
101.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
107554
130.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
109179
132.2 IPS |
|
|
Object Detection (F32)
|
100% |
4955
370.0 IPS |
|
|
Object Detection (F16)
|
100% |
4740
353.9 IPS |
|
|
Object Detection (I8)
|
97% |
4912
366.7 IPS |
|
|
Face Detection (F32)
|
100% |
22645
269.3 IPS |
|
|
Face Detection (F16)
|
97% |
22324
265.4 IPS |
|
|
Face Detection (I8)
|
96% |
22330
265.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35119
272.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
48724
377.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
49619
384.8 IPS |
|
|
Style Transfer (F32)
|
100% |
156519
205.9 IPS |
|
|
Style Transfer (F16)
|
100% |
148927
195.9 IPS |
|
|
Style Transfer (I8)
|
100% |
141677
186.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14131
504.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
31053
1.11 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
25579
913.5 IPS |
|
|
Text Classification (F32)
|
100% |
2429
3.49 KIPS |
|
|
Text Classification (F16)
|
100% |
4233
6.08 KIPS |
|
|
Text Classification (I8)
|
96% |
4201
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3656
67.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1112
20.5 IPS |
