MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10824
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 07 2024 11:56 PM |
| Views | 30 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5074a) |
| 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% |
6994
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
6685
1.25 KIPS |
|
|
Image Classification (I8)
|
99% |
6533
1.22 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3056
51.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2576
43.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2486
41.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
83692
101.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
90400
109.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
93446
113.2 IPS |
|
|
Object Detection (F32)
|
100% |
5074
378.8 IPS |
|
|
Object Detection (F16)
|
100% |
3786
282.7 IPS |
|
|
Object Detection (I8)
|
97% |
4986
372.2 IPS |
|
|
Face Detection (F32)
|
100% |
24463
290.9 IPS |
|
|
Face Detection (F16)
|
97% |
12096
143.8 IPS |
|
|
Face Detection (I8)
|
96% |
12023
143.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
35567
275.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
35891
278.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
33677
261.2 IPS |
|
|
Style Transfer (F32)
|
100% |
153456
201.9 IPS |
|
|
Style Transfer (F16)
|
100% |
144403
189.9 IPS |
|
|
Style Transfer (I8)
|
100% |
140886
185.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10500
375.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16058
573.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16043
572.9 IPS |
|
|
Text Classification (F32)
|
100% |
998
1.43 KIPS |
|
|
Text Classification (F16)
|
100% |
2582
3.71 KIPS |
|
|
Text Classification (I8)
|
96% |
2572
3.70 KIPS |
|
|
Machine Translation (F32)
|
100% |
1037
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3280
60.4 IPS |
|
|
Machine Translation (I8)
|
99% |
913
16.8 IPS |
