MacPro7,1
Geekbench ML Score
5452
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Hais |
| Upload Date | August 16 2024 03:29 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4306
805.8 IPS |
|
|
Image Classification (F16)
|
100% |
4370
817.8 IPS |
|
|
Image Classification (I8)
|
99% |
4354
814.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
9.60 IPS |
|
|
Image Segmentation (F16)
|
100% |
576
9.62 IPS |
|
|
Image Segmentation (I8)
|
100% |
569
9.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
90446
109.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
80215
97.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
80027
96.9 IPS |
|
|
Object Detection (F32)
|
100% |
2132
159.2 IPS |
|
|
Object Detection (F16)
|
100% |
2070
154.6 IPS |
|
|
Object Detection (I8)
|
97% |
1692
126.3 IPS |
|
|
Face Detection (F32)
|
100% |
13373
159.0 IPS |
|
|
Face Detection (F16)
|
98% |
13329
158.5 IPS |
|
|
Face Detection (I8)
|
97% |
13538
161.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
21590
167.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
30171
234.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
22859
177.3 IPS |
|
|
Style Transfer (F32)
|
100% |
86785
114.2 IPS |
|
|
Style Transfer (F16)
|
100% |
85217
112.1 IPS |
|
|
Style Transfer (I8)
|
100% |
85577
112.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5803
207.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6917
247.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6789
242.5 IPS |
|
|
Text Classification (F32)
|
100% |
391
562.4 IPS |
|
|
Text Classification (F16)
|
100% |
359
515.7 IPS |
|
|
Text Classification (I8)
|
96% |
337
484.3 IPS |
|
|
Machine Translation (F32)
|
100% |
851
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
877
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
854
15.7 IPS |
