MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
4106
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | August 15 2024 04:59 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 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 | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1698
317.8 IPS |
|
|
Image Classification (F16)
|
100% |
2009
375.9 IPS |
|
|
Image Classification (I8)
|
99% |
2027
379.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1107
18.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1061
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1069
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8305
10.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
16133
19.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
15760
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1710
127.7 IPS |
|
|
Object Detection (F16)
|
100% |
2277
170.0 IPS |
|
|
Object Detection (I8)
|
97% |
1721
128.4 IPS |
|
|
Face Detection (F32)
|
100% |
3445
41.0 IPS |
|
|
Face Detection (F16)
|
97% |
4976
59.2 IPS |
|
|
Face Detection (I8)
|
97% |
4980
59.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6710
52.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
9722
75.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
9750
75.6 IPS |
|
|
Style Transfer (F32)
|
100% |
19277
25.4 IPS |
|
|
Style Transfer (F16)
|
100% |
28742
37.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28317
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5108
182.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5414
193.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5386
192.3 IPS |
|
|
Text Classification (F32)
|
100% |
2579
3.71 KIPS |
|
|
Text Classification (F16)
|
100% |
4238
6.09 KIPS |
|
|
Text Classification (I8)
|
96% |
4221
6.07 KIPS |
|
|
Machine Translation (F32)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1755
32.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1427
26.3 IPS |
