MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9398
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 06:20 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| 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% |
6491
1.21 KIPS |
|
|
Image Classification (F16)
|
100% |
6610
1.24 KIPS |
|
|
Image Classification (I8)
|
99% |
7027
1.31 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2887
48.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2381
39.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2015
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
62545
75.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
93950
113.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
95061
115.1 IPS |
|
|
Object Detection (F32)
|
100% |
5015
374.4 IPS |
|
|
Object Detection (F16)
|
100% |
3911
292.0 IPS |
|
|
Object Detection (I8)
|
97% |
4753
354.8 IPS |
|
|
Face Detection (F32)
|
100% |
18370
218.4 IPS |
|
|
Face Detection (F16)
|
97% |
11729
139.5 IPS |
|
|
Face Detection (I8)
|
96% |
11893
141.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
31009
240.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
34073
264.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
30361
235.5 IPS |
|
|
Style Transfer (F32)
|
100% |
132909
174.8 IPS |
|
|
Style Transfer (F16)
|
100% |
141865
186.6 IPS |
|
|
Style Transfer (I8)
|
100% |
142557
187.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10710
382.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16624
593.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15064
538.0 IPS |
|
|
Text Classification (F32)
|
100% |
1195
1.72 KIPS |
|
|
Text Classification (F16)
|
100% |
893
1.28 KIPS |
|
|
Text Classification (I8)
|
96% |
792
1.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
1089
20.0 IPS |
|
|
Machine Translation (F16)
|
99% |
1189
21.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1101
20.3 IPS |
