MacBook Pro (16-inch, Nov 2023)
Geekbench ML Score
9984
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | agentsmurf |
| Upload Date | August 15 2024 07:23 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 4.04 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6105
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
6453
1.21 KIPS |
|
|
Image Classification (I8)
|
99% |
6179
1.16 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2792
46.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2860
47.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2856
47.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
82821
100.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
56388
68.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
53666
65.0 IPS |
|
|
Object Detection (F32)
|
100% |
4087
305.1 IPS |
|
|
Object Detection (F16)
|
100% |
4868
363.4 IPS |
|
|
Object Detection (I8)
|
97% |
4057
302.9 IPS |
|
|
Face Detection (F32)
|
100% |
19440
231.1 IPS |
|
|
Face Detection (F16)
|
98% |
24505
291.4 IPS |
|
|
Face Detection (I8)
|
97% |
21873
260.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
23725
184.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
34704
269.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
25941
201.2 IPS |
|
|
Style Transfer (F32)
|
100% |
101830
133.9 IPS |
|
|
Style Transfer (F16)
|
100% |
120973
159.1 IPS |
|
|
Style Transfer (I8)
|
100% |
126213
166.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7469
266.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7713
275.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
11922
425.8 IPS |
|
|
Text Classification (F32)
|
100% |
2439
3.51 KIPS |
|
|
Text Classification (F16)
|
100% |
4216
6.06 KIPS |
|
|
Text Classification (I8)
|
96% |
4200
6.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1052
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1101
20.3 IPS |
|
|
Machine Translation (I8)
|
99% |
716
13.2 IPS |
