MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10906
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 09:37 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6987
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
6423
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6734
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3068
51.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2598
43.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2606
43.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
84411
102.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
86384
104.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
93594
113.3 IPS |
|
|
Object Detection (F32)
|
100% |
5323
397.4 IPS |
|
|
Object Detection (F16)
|
100% |
3883
289.9 IPS |
|
|
Object Detection (I8)
|
97% |
5272
393.6 IPS |
|
|
Face Detection (F32)
|
100% |
27785
330.4 IPS |
|
|
Face Detection (F16)
|
97% |
12003
142.7 IPS |
|
|
Face Detection (I8)
|
96% |
12039
143.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
36049
279.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
38008
294.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
34690
269.0 IPS |
|
|
Style Transfer (F32)
|
100% |
153278
201.6 IPS |
|
|
Style Transfer (F16)
|
100% |
139901
184.0 IPS |
|
|
Style Transfer (I8)
|
100% |
141301
185.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10105
360.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15738
562.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16408
586.0 IPS |
|
|
Text Classification (F32)
|
100% |
940
1.35 KIPS |
|
|
Text Classification (F16)
|
100% |
2212
3.18 KIPS |
|
|
Text Classification (I8)
|
96% |
2265
3.25 KIPS |
|
|
Machine Translation (F32)
|
100% |
1106
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3710
68.3 IPS |
|
|
Machine Translation (I8)
|
99% |
992
18.2 IPS |
