MacPro7,1
Geekbench ML Score
5498
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Hais |
| Upload Date | August 16 2024 03:31 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4165
779.4 IPS |
|
|
Image Classification (F16)
|
100% |
4413
825.7 IPS |
|
|
Image Classification (I8)
|
99% |
4526
846.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
9.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
564
9.41 IPS |
|
|
Image Segmentation (I8)
|
100% |
560
9.35 IPS |
|
|
Pose Estimation (F32)
|
100% |
90211
109.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
80472
97.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
80518
97.5 IPS |
|
|
Object Detection (F32)
|
100% |
1879
140.3 IPS |
|
|
Object Detection (F16)
|
100% |
1742
130.1 IPS |
|
|
Object Detection (I8)
|
97% |
1734
129.5 IPS |
|
|
Face Detection (F32)
|
100% |
11281
134.1 IPS |
|
|
Face Detection (F16)
|
98% |
12373
147.1 IPS |
|
|
Face Detection (I8)
|
97% |
15774
187.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
21187
164.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
20762
161.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
24580
190.6 IPS |
|
|
Style Transfer (F32)
|
100% |
95302
125.4 IPS |
|
|
Style Transfer (F16)
|
100% |
127230
167.4 IPS |
|
|
Style Transfer (I8)
|
100% |
132148
173.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6029
215.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6937
247.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6596
235.6 IPS |
|
|
Text Classification (F32)
|
100% |
394
566.5 IPS |
|
|
Text Classification (F16)
|
100% |
362
519.8 IPS |
|
|
Text Classification (I8)
|
96% |
333
479.0 IPS |
|
|
Machine Translation (F32)
|
100% |
855
15.7 IPS |
|
|
Machine Translation (F16)
|
100% |
872
16.1 IPS |
|
|
Machine Translation (I8)
|
99% |
861
15.9 IPS |
