MacPro7,1
Geekbench ML Score
994
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | March 20 2025 01:22 PM |
| Views | 4 |
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 | 3200 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
686
128.3 IPS |
|
|
Image Classification (F16)
|
100% |
502
94.0 IPS |
|
|
Image Classification (I8)
|
99% |
507
94.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
459
7.66 IPS |
|
|
Image Segmentation (F16)
|
100% |
399
6.66 IPS |
|
|
Image Segmentation (I8)
|
100% |
396
6.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
3345
4.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
1348
1.63 IPS |
|
|
Pose Estimation (I8)
|
100% |
1359
1.65 IPS |
|
|
Object Detection (F32)
|
100% |
700
52.3 IPS |
|
|
Object Detection (F16)
|
100% |
544
40.6 IPS |
|
|
Object Detection (I8)
|
97% |
712
53.2 IPS |
|
|
Face Detection (F32)
|
100% |
1283
15.3 IPS |
|
|
Face Detection (F16)
|
98% |
1038
12.3 IPS |
|
|
Face Detection (I8)
|
97% |
1028
12.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1937
15.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1766
13.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
1747
13.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4481
5.89 IPS |
|
|
Style Transfer (F16)
|
100% |
4722
6.21 IPS |
|
|
Style Transfer (I8)
|
100% |
4589
6.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2354
84.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
974
34.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
995
35.6 IPS |
|
|
Text Classification (F32)
|
100% |
630
906.0 IPS |
|
|
Text Classification (F16)
|
100% |
540
775.5 IPS |
|
|
Text Classification (I8)
|
96% |
552
792.6 IPS |
|
|
Machine Translation (F32)
|
100% |
479
8.81 IPS |
|
|
Machine Translation (F16)
|
100% |
523
9.63 IPS |
|
|
Machine Translation (I8)
|
99% |
478
8.80 IPS |
