MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
10787
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:02 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 48.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6760
1.27 KIPS |
|
|
Image Classification (F16)
|
100% |
6479
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
7320
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
3083
51.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2540
42.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
2502
41.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
84730
102.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
93295
113.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
95229
115.3 IPS |
|
|
Object Detection (F32)
|
100% |
4554
340.0 IPS |
|
|
Object Detection (F16)
|
100% |
4011
299.4 IPS |
|
|
Object Detection (I8)
|
97% |
4990
372.5 IPS |
|
|
Face Detection (F32)
|
100% |
25080
298.2 IPS |
|
|
Face Detection (F16)
|
97% |
12110
144.0 IPS |
|
|
Face Detection (I8)
|
96% |
11715
139.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35848
278.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33889
262.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
31618
245.2 IPS |
|
|
Style Transfer (F32)
|
100% |
165005
217.1 IPS |
|
|
Style Transfer (F16)
|
100% |
141221
185.8 IPS |
|
|
Style Transfer (I8)
|
100% |
141986
186.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10444
373.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17753
634.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17545
626.6 IPS |
|
|
Text Classification (F32)
|
100% |
452
650.1 IPS |
|
|
Text Classification (F16)
|
100% |
2875
4.13 KIPS |
|
|
Text Classification (I8)
|
96% |
2817
4.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3447
63.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1085
20.0 IPS |
