MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10900
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:08 AM |
| Views | 6 |
| Notes | MacBook Pro (16-inch, Nov 2023)/M3 Max 16Core CPU/40Core GPU |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
6762
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6502
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6742
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3084
51.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2594
43.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
2531
42.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83737
101.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
89747
108.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
91727
111.1 IPS |
|
|
Object Detection (F32)
|
100% |
3639
271.7 IPS |
|
|
Object Detection (F16)
|
100% |
3925
293.0 IPS |
|
|
Object Detection (I8)
|
97% |
4999
373.2 IPS |
|
|
Face Detection (F32)
|
100% |
24153
287.2 IPS |
|
|
Face Detection (F16)
|
97% |
12043
143.2 IPS |
|
|
Face Detection (I8)
|
96% |
12150
144.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35638
276.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
33914
263.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
35895
278.4 IPS |
|
|
Style Transfer (F32)
|
100% |
164427
216.3 IPS |
|
|
Style Transfer (F16)
|
100% |
139668
183.7 IPS |
|
|
Style Transfer (I8)
|
100% |
138962
182.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9667
345.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16995
606.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16465
588.0 IPS |
|
|
Text Classification (F32)
|
100% |
1337
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
2560
3.68 KIPS |
|
|
Text Classification (I8)
|
96% |
2584
3.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3487
64.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1018
18.7 IPS |
