Mac Studio (2023)
Geekbench ML Score
3479
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:13 AM |
| Views | 10 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1459
273.1 IPS |
|
|
Image Classification (F16)
|
100% |
1821
340.7 IPS |
|
|
Image Classification (I8)
|
99% |
1810
338.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
919
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
902
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
903
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6062
7.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
14321
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14372
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1489
111.1 IPS |
|
|
Object Detection (F16)
|
100% |
1999
149.2 IPS |
|
|
Object Detection (I8)
|
97% |
1496
111.7 IPS |
|
|
Face Detection (F32)
|
100% |
2938
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
4277
50.9 IPS |
|
|
Face Detection (I8)
|
97% |
4283
50.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5457
42.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8596
66.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
8621
66.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16606
21.8 IPS |
|
|
Style Transfer (F16)
|
100% |
26330
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
25237
33.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3942
140.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4884
174.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4833
172.6 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3076
4.42 KIPS |
|
|
Text Classification (I8)
|
96% |
3068
4.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1536
28.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1149
21.1 IPS |
