MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
11033
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 19 2024 10:53 PM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,8 |
| Motherboard | Mac15,8 |
| 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% |
6792
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6517
1.22 KIPS |
|
|
Image Classification (I8)
|
99% |
6735
1.26 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3117
52.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2589
43.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
2597
43.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
83617
101.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
88109
106.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
86307
104.5 IPS |
|
|
Object Detection (F32)
|
100% |
4644
346.7 IPS |
|
|
Object Detection (F16)
|
100% |
4539
338.9 IPS |
|
|
Object Detection (I8)
|
97% |
4037
301.4 IPS |
|
|
Face Detection (F32)
|
100% |
24729
294.0 IPS |
|
|
Face Detection (F16)
|
97% |
12050
143.3 IPS |
|
|
Face Detection (I8)
|
96% |
12157
144.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
35233
273.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
31980
248.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
31239
242.3 IPS |
|
|
Style Transfer (F32)
|
100% |
153337
201.7 IPS |
|
|
Style Transfer (F16)
|
100% |
130669
171.9 IPS |
|
|
Style Transfer (I8)
|
100% |
142000
186.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16567
591.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14961
534.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16171
577.5 IPS |
|
|
Text Classification (F32)
|
100% |
1234
1.77 KIPS |
|
|
Text Classification (F16)
|
100% |
2903
4.17 KIPS |
|
|
Text Classification (I8)
|
96% |
2909
4.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1085
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
3418
62.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1006
18.5 IPS |
