MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4101
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 07:42 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1700
318.0 IPS |
|
|
Image Classification (F16)
|
100% |
1994
373.0 IPS |
|
|
Image Classification (I8)
|
99% |
2007
375.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1089
18.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1063
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1069
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8368
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16481
20.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
16465
19.9 IPS |
|
|
Object Detection (F32)
|
100% |
1735
129.5 IPS |
|
|
Object Detection (F16)
|
100% |
2234
166.8 IPS |
|
|
Object Detection (I8)
|
97% |
1632
121.8 IPS |
|
|
Face Detection (F32)
|
100% |
3444
41.0 IPS |
|
|
Face Detection (F16)
|
97% |
5010
59.6 IPS |
|
|
Face Detection (I8)
|
97% |
4995
59.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
6750
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9755
75.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9422
73.1 IPS |
|
|
Style Transfer (F32)
|
100% |
19351
25.5 IPS |
|
|
Style Transfer (F16)
|
100% |
28716
37.8 IPS |
|
|
Style Transfer (I8)
|
100% |
29097
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5014
179.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5534
197.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5680
202.9 IPS |
|
|
Text Classification (F32)
|
100% |
2602
3.74 KIPS |
|
|
Text Classification (F16)
|
100% |
4256
6.12 KIPS |
|
|
Text Classification (I8)
|
96% |
3905
5.61 KIPS |
|
|
Machine Translation (F32)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1741
32.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1400
25.8 IPS |
