MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9296
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | llareta |
| Upload Date | May 08 2024 02:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6524
1.22 KIPS |
|
|
Image Classification (F16)
|
100% |
6419
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6565
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2806
46.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
2492
41.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2519
42.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62156
75.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
88621
107.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
88389
107.0 IPS |
|
|
Object Detection (F32)
|
100% |
4961
370.4 IPS |
|
|
Object Detection (F16)
|
100% |
4126
308.0 IPS |
|
|
Object Detection (I8)
|
97% |
4724
352.7 IPS |
|
|
Face Detection (F32)
|
100% |
21731
258.4 IPS |
|
|
Face Detection (F16)
|
97% |
12005
142.7 IPS |
|
|
Face Detection (I8)
|
96% |
12004
142.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
30629
237.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
32586
252.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
34295
266.0 IPS |
|
|
Style Transfer (F32)
|
100% |
127609
167.9 IPS |
|
|
Style Transfer (F16)
|
100% |
139731
183.8 IPS |
|
|
Style Transfer (I8)
|
100% |
141533
186.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9343
333.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16351
584.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17639
629.9 IPS |
|
|
Text Classification (F32)
|
100% |
759
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
690
992.2 IPS |
|
|
Text Classification (I8)
|
96% |
812
1.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1164
21.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1193
22.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1141
21.0 IPS |
