MacPro7,1
Geekbench ML Score
780
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | August 17 2024 06:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
491
91.8 IPS |
|
|
Image Classification (F16)
|
100% |
356
66.6 IPS |
|
|
Image Classification (I8)
|
99% |
354
66.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
437
7.29 IPS |
|
|
Image Segmentation (F16)
|
100% |
429
7.17 IPS |
|
|
Image Segmentation (I8)
|
100% |
423
7.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
2767
3.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
2787
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
2777
3.36 IPS |
|
|
Object Detection (F32)
|
100% |
355
26.5 IPS |
|
|
Object Detection (F16)
|
100% |
286
21.3 IPS |
|
|
Object Detection (I8)
|
97% |
392
29.3 IPS |
|
|
Face Detection (F32)
|
100% |
1045
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (I8)
|
99% |
999
11.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1066
8.27 IPS |
|
|
Depth Estimation (F16)
|
100% |
925
7.18 IPS |
|
|
Depth Estimation (I8)
|
99% |
985
7.64 IPS |
|
|
Style Transfer (F32)
|
100% |
4627
6.09 IPS |
|
|
Style Transfer (F16)
|
100% |
4797
6.31 IPS |
|
|
Style Transfer (I8)
|
100% |
4650
6.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1003
35.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1006
35.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
1037
37.0 IPS |
|
|
Text Classification (F32)
|
100% |
327
469.4 IPS |
|
|
Text Classification (F16)
|
100% |
150
214.9 IPS |
|
|
Text Classification (I8)
|
96% |
161
231.8 IPS |
|
|
Machine Translation (F32)
|
100% |
605
11.1 IPS |
|
|
Machine Translation (F16)
|
100% |
447
8.22 IPS |
|
|
Machine Translation (I8)
|
99% |
597
11.0 IPS |
