MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10675
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:10 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6821
1.28 KIPS |
|
|
Image Classification (F16)
|
100% |
6541
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6646
1.24 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2823
47.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2430
40.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
2588
43.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
84175
101.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
93782
113.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
94259
114.1 IPS |
|
|
Object Detection (F32)
|
100% |
4090
305.3 IPS |
|
|
Object Detection (F16)
|
100% |
3850
287.4 IPS |
|
|
Object Detection (I8)
|
97% |
4047
302.1 IPS |
|
|
Face Detection (F32)
|
100% |
24144
287.1 IPS |
|
|
Face Detection (F16)
|
97% |
12126
144.2 IPS |
|
|
Face Detection (I8)
|
96% |
11948
142.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
35724
277.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33959
263.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
31011
240.5 IPS |
|
|
Style Transfer (F32)
|
100% |
163687
215.3 IPS |
|
|
Style Transfer (F16)
|
100% |
139465
183.5 IPS |
|
|
Style Transfer (I8)
|
100% |
132103
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14864
530.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18656
666.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16486
588.8 IPS |
|
|
Text Classification (F32)
|
100% |
662
951.9 IPS |
|
|
Text Classification (F16)
|
100% |
2789
4.01 KIPS |
|
|
Text Classification (I8)
|
96% |
2763
3.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1019
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3170
58.3 IPS |
|
|
Machine Translation (I8)
|
99% |
953
17.5 IPS |
