MacPro7,1
Geekbench ML Score
908
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Hais |
| Upload Date | August 16 2024 03:35 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 32.0 KB x 10 |
| L2 Cache | 256 KB x 10 |
| L3 Cache | 20.0 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% |
593
111.0 IPS |
|
|
Image Classification (F16)
|
100% |
417
78.1 IPS |
|
|
Image Classification (I8)
|
99% |
417
78.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
414
6.92 IPS |
|
|
Image Segmentation (F16)
|
100% |
291
4.86 IPS |
|
|
Image Segmentation (I8)
|
100% |
290
4.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
3155
3.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
2940
3.56 IPS |
|
|
Pose Estimation (I8)
|
100% |
2894
3.50 IPS |
|
|
Object Detection (F32)
|
100% |
605
45.2 IPS |
|
|
Object Detection (F16)
|
100% |
466
34.8 IPS |
|
|
Object Detection (I8)
|
97% |
602
44.9 IPS |
|
|
Face Detection (F32)
|
100% |
1110
13.2 IPS |
|
|
Face Detection (F16)
|
98% |
958
11.4 IPS |
|
|
Face Detection (I8)
|
97% |
924
11.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
1776
13.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
1354
10.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
1325
10.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4635
6.10 IPS |
|
|
Style Transfer (F16)
|
100% |
4876
6.41 IPS |
|
|
Style Transfer (I8)
|
100% |
4910
6.46 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1792
64.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
919
32.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
865
30.9 IPS |
|
|
Text Classification (F32)
|
100% |
482
692.1 IPS |
|
|
Text Classification (F16)
|
100% |
496
712.7 IPS |
|
|
Text Classification (I8)
|
96% |
498
715.0 IPS |
|
|
Machine Translation (F32)
|
100% |
360
6.63 IPS |
|
|
Machine Translation (F16)
|
100% |
458
8.43 IPS |
|
|
Machine Translation (I8)
|
99% |
356
6.55 IPS |
