MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
11444
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mweinbach |
| Upload Date | December 08 2023 04:47 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| 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% |
6642
1.24 KIPS |
|
|
Image Classification (F16)
|
100% |
7567
1.42 KIPS |
|
|
Image Classification (I8)
|
99% |
7184
1.34 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2355
39.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2145
35.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2105
35.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
83693
101.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
93437
113.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
94403
114.3 IPS |
|
|
Object Detection (F32)
|
100% |
4885
364.7 IPS |
|
|
Object Detection (F16)
|
100% |
4953
369.8 IPS |
|
|
Object Detection (I8)
|
97% |
5024
375.1 IPS |
|
|
Face Detection (F32)
|
100% |
24782
294.7 IPS |
|
|
Face Detection (F16)
|
97% |
15218
180.9 IPS |
|
|
Face Detection (I8)
|
96% |
14228
169.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
34759
269.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
56395
437.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
32487
251.9 IPS |
|
|
Style Transfer (F32)
|
100% |
163669
215.3 IPS |
|
|
Style Transfer (F16)
|
100% |
137595
181.0 IPS |
|
|
Style Transfer (I8)
|
100% |
133849
176.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
16215
579.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
16048
573.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18589
663.9 IPS |
|
|
Text Classification (F32)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
3361
4.83 KIPS |
|
|
Text Classification (I8)
|
96% |
3602
5.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1007
18.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3083
56.7 IPS |
|
|
Machine Translation (I8)
|
99% |
925
17.0 IPS |
