Mac Studio (2023)
Geekbench ML Score
8417
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:16 AM |
| Views | 6 |
| Notes | Mac Studio (2023)/M2 Max/12Core CPU/30CoreGPU/32GB/512GB SSD |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5547
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
5710
1.07 KIPS |
|
|
Image Classification (I8)
|
99% |
5045
944.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2359
39.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2388
39.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2352
39.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
56702
68.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
59307
71.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
57854
70.1 IPS |
|
|
Object Detection (F32)
|
100% |
4009
299.3 IPS |
|
|
Object Detection (F16)
|
100% |
4190
312.8 IPS |
|
|
Object Detection (I8)
|
97% |
3950
294.9 IPS |
|
|
Face Detection (F32)
|
100% |
19176
228.0 IPS |
|
|
Face Detection (F16)
|
98% |
19665
233.8 IPS |
|
|
Face Detection (I8)
|
97% |
18545
220.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
27312
211.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
27668
214.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
26553
205.9 IPS |
|
|
Style Transfer (F32)
|
100% |
105801
139.2 IPS |
|
|
Style Transfer (F16)
|
100% |
117296
154.3 IPS |
|
|
Style Transfer (I8)
|
100% |
114452
150.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14922
532.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18542
662.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
15413
550.5 IPS |
|
|
Text Classification (F32)
|
100% |
625
898.9 IPS |
|
|
Text Classification (F16)
|
100% |
589
846.5 IPS |
|
|
Text Classification (I8)
|
96% |
574
825.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1036
19.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1054
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1063
19.6 IPS |
