MacPro7,1
Geekbench ML Score
958
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 05 2025 01:21 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3600 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
674
126.2 IPS |
|
|
Image Classification (F16)
|
100% |
481
89.9 IPS |
|
|
Image Classification (I8)
|
99% |
490
91.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
444
7.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
399
6.66 IPS |
|
|
Image Segmentation (I8)
|
100% |
390
6.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
3232
3.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
1278
1.55 IPS |
|
|
Pose Estimation (I8)
|
100% |
1285
1.56 IPS |
|
|
Object Detection (F32)
|
100% |
714
53.3 IPS |
|
|
Object Detection (F16)
|
100% |
566
42.3 IPS |
|
|
Object Detection (I8)
|
97% |
658
49.2 IPS |
|
|
Face Detection (F32)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (F16)
|
98% |
1049
12.5 IPS |
|
|
Face Detection (I8)
|
97% |
993
11.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1861
14.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1715
13.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
1715
13.3 IPS |
|
|
Style Transfer (F32)
|
100% |
4362
5.74 IPS |
|
|
Style Transfer (F16)
|
100% |
3816
5.02 IPS |
|
|
Style Transfer (I8)
|
100% |
4248
5.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2191
78.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
932
33.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
905
32.3 IPS |
|
|
Text Classification (F32)
|
100% |
590
847.8 IPS |
|
|
Text Classification (F16)
|
100% |
515
739.6 IPS |
|
|
Text Classification (I8)
|
96% |
541
778.2 IPS |
|
|
Machine Translation (F32)
|
100% |
460
8.47 IPS |
|
|
Machine Translation (F16)
|
100% |
531
9.77 IPS |
|
|
Machine Translation (I8)
|
99% |
474
8.73 IPS |
