MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10103
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:06 AM |
| Views | 10 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6796
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
7018
1.31 KIPS |
|
|
Image Classification (I8)
|
99% |
6666
1.25 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3073
51.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3124
52.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
3173
53.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
83766
101.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
87466
105.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
83890
101.6 IPS |
|
|
Object Detection (F32)
|
100% |
5069
378.5 IPS |
|
|
Object Detection (F16)
|
100% |
5312
396.6 IPS |
|
|
Object Detection (I8)
|
97% |
5019
374.7 IPS |
|
|
Face Detection (F32)
|
100% |
25016
297.4 IPS |
|
|
Face Detection (F16)
|
98% |
26538
315.5 IPS |
|
|
Face Detection (I8)
|
97% |
25090
298.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
36135
280.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
38130
295.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
36961
286.6 IPS |
|
|
Style Transfer (F32)
|
100% |
156730
206.2 IPS |
|
|
Style Transfer (F16)
|
100% |
171401
225.5 IPS |
|
|
Style Transfer (I8)
|
100% |
166077
218.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9268
331.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10625
379.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9803
350.1 IPS |
|
|
Text Classification (F32)
|
100% |
621
891.8 IPS |
|
|
Text Classification (F16)
|
100% |
825
1.18 KIPS |
|
|
Text Classification (I8)
|
96% |
734
1.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
1092
20.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1098
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1027
18.9 IPS |
