Mac Pro (2023)
Geekbench ML Score
8745
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 01:23 PM |
| Views | 8 |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1098
205.4 IPS |
|
|
Image Classification (F16)
|
100% |
7303
1.37 KIPS |
|
|
Image Classification (I8)
|
99% |
7726
1.45 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2311
38.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1710
28.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
1712
28.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
95782
116.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
77705
94.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
80002
96.9 IPS |
|
|
Object Detection (F32)
|
100% |
3827
285.7 IPS |
|
|
Object Detection (F16)
|
100% |
3873
289.1 IPS |
|
|
Object Detection (I8)
|
97% |
3623
270.5 IPS |
|
|
Face Detection (F32)
|
100% |
22914
272.5 IPS |
|
|
Face Detection (F16)
|
97% |
11311
134.5 IPS |
|
|
Face Detection (I8)
|
96% |
11348
134.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
30829
239.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
42766
331.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
41166
319.2 IPS |
|
|
Style Transfer (F32)
|
100% |
172844
227.4 IPS |
|
|
Style Transfer (F16)
|
100% |
134825
177.4 IPS |
|
|
Style Transfer (I8)
|
100% |
138173
181.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
19135
683.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17084
610.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
16617
593.4 IPS |
|
|
Text Classification (F32)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
668
959.8 IPS |
|
|
Text Classification (I8)
|
96% |
696
999.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1040
19.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1141
21.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1034
19.0 IPS |
