Mac Pro (2023)
Geekbench ML Score
3471
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 01:18 PM |
| Views | 9 |
| Notes | Mac Pro (2023)/M2 Ultra/24Core CPU/60CoreGPU/128GB/1TB SSD |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac Pro (2023) |
| Model ID | Mac14,8 |
| Motherboard | Mac14,8 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1454
272.1 IPS |
|
|
Image Classification (F16)
|
100% |
1813
339.3 IPS |
|
|
Image Classification (I8)
|
99% |
1826
341.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
888
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
886
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6098
7.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
14227
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14319
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1485
110.8 IPS |
|
|
Object Detection (F16)
|
100% |
1969
147.0 IPS |
|
|
Object Detection (I8)
|
97% |
1491
111.3 IPS |
|
|
Face Detection (F32)
|
100% |
2898
34.5 IPS |
|
|
Face Detection (F16)
|
97% |
4327
51.5 IPS |
|
|
Face Detection (I8)
|
97% |
4290
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5539
43.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8579
66.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
8574
66.5 IPS |
|
|
Style Transfer (F32)
|
100% |
16491
21.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26117
34.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26193
34.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3900
139.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5031
179.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5029
179.6 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3201
4.60 KIPS |
|
|
Text Classification (I8)
|
96% |
3189
4.58 KIPS |
|
|
Machine Translation (F32)
|
100% |
1079
19.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1552
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1021
18.8 IPS |
