MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10564
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:53 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
6789
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6465
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6587
1.23 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2960
49.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2499
41.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2467
41.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
83783
101.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
88763
107.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
89465
108.3 IPS |
|
|
Object Detection (F32)
|
100% |
3752
280.1 IPS |
|
|
Object Detection (F16)
|
100% |
3663
273.4 IPS |
|
|
Object Detection (I8)
|
97% |
4586
342.4 IPS |
|
|
Face Detection (F32)
|
100% |
22920
272.5 IPS |
|
|
Face Detection (F16)
|
97% |
12085
143.7 IPS |
|
|
Face Detection (I8)
|
96% |
12102
143.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
26671
206.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
31567
244.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
36885
286.0 IPS |
|
|
Style Transfer (F32)
|
100% |
121184
159.4 IPS |
|
|
Style Transfer (F16)
|
100% |
141147
185.7 IPS |
|
|
Style Transfer (I8)
|
100% |
139097
183.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15740
562.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14669
523.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14367
513.1 IPS |
|
|
Text Classification (F32)
|
100% |
1583
2.27 KIPS |
|
|
Text Classification (F16)
|
100% |
2569
3.69 KIPS |
|
|
Text Classification (I8)
|
96% |
3139
4.51 KIPS |
|
|
Machine Translation (F32)
|
100% |
820
15.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3313
61.0 IPS |
|
|
Machine Translation (I8)
|
99% |
825
15.2 IPS |
