MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4148
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:00 PM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1679
314.2 IPS |
|
|
Image Classification (F16)
|
100% |
2002
374.6 IPS |
|
|
Image Classification (I8)
|
99% |
1994
373.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1058
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1088
18.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
8359
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16480
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16456
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1723
128.6 IPS |
|
|
Object Detection (F16)
|
100% |
2301
171.8 IPS |
|
|
Object Detection (I8)
|
97% |
1727
128.9 IPS |
|
|
Face Detection (F32)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (F16)
|
97% |
5089
60.5 IPS |
|
|
Face Detection (I8)
|
97% |
5071
60.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6737
52.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9825
76.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
9795
76.0 IPS |
|
|
Style Transfer (F32)
|
100% |
20818
27.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28688
37.7 IPS |
|
|
Style Transfer (I8)
|
100% |
28862
38.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5102
182.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5509
196.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5555
198.4 IPS |
|
|
Text Classification (F32)
|
100% |
2526
3.63 KIPS |
|
|
Text Classification (F16)
|
100% |
4272
6.14 KIPS |
|
|
Text Classification (I8)
|
96% |
4205
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1437
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1772
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1444
26.6 IPS |
