Mac Pro (2023)
Geekbench ML Score
8357
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 01:21 PM |
| Views | 5 |
| 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 | 3.67 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1106
206.9 IPS |
|
|
Image Classification (F16)
|
100% |
1023
191.4 IPS |
|
|
Image Classification (I8)
|
99% |
1017
190.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
2380
39.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2389
39.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2382
39.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
95696
115.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
99495
120.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
94501
114.4 IPS |
|
|
Object Detection (F32)
|
100% |
4195
313.2 IPS |
|
|
Object Detection (F16)
|
100% |
4214
314.6 IPS |
|
|
Object Detection (I8)
|
97% |
3953
295.1 IPS |
|
|
Face Detection (F32)
|
100% |
22786
270.9 IPS |
|
|
Face Detection (F16)
|
98% |
23052
274.1 IPS |
|
|
Face Detection (I8)
|
97% |
21371
254.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
30895
239.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
32509
252.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
29117
225.8 IPS |
|
|
Style Transfer (F32)
|
100% |
171716
225.9 IPS |
|
|
Style Transfer (F16)
|
100% |
176774
232.5 IPS |
|
|
Style Transfer (I8)
|
100% |
173486
228.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15476
552.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15128
540.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18614
664.8 IPS |
|
|
Text Classification (F32)
|
100% |
1003
1.44 KIPS |
|
|
Text Classification (F16)
|
100% |
699
1.01 KIPS |
|
|
Text Classification (I8)
|
96% |
700
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
1058
19.5 IPS |
|
|
Machine Translation (F16)
|
99% |
1138
20.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1054
19.4 IPS |
