MacPro7,1
Geekbench ML Score
9851
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| User | Vandroiy |
| Upload Date | August 16 2024 09:37 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 8 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 1.25 MB x 3 |
| L3 Cache | 30.0 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% |
7020
1.31 KIPS |
|
|
Image Classification (F16)
|
100% |
6835
1.28 KIPS |
|
|
Image Classification (I8)
|
99% |
6886
1.29 KIPS |
|
|
Image Segmentation (F32)
|
100% |
970
16.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
946
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
954
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
90582
109.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
80843
97.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
80808
97.9 IPS |
|
|
Object Detection (F32)
|
100% |
4908
366.4 IPS |
|
|
Object Detection (F16)
|
100% |
4956
370.0 IPS |
|
|
Object Detection (I8)
|
97% |
4896
365.6 IPS |
|
|
Face Detection (F32)
|
100% |
26123
310.6 IPS |
|
|
Face Detection (F16)
|
98% |
26337
313.2 IPS |
|
|
Face Detection (I8)
|
97% |
27950
332.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
35875
278.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
32718
253.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
34169
265.0 IPS |
|
|
Style Transfer (F32)
|
100% |
144842
190.5 IPS |
|
|
Style Transfer (F16)
|
100% |
142715
187.7 IPS |
|
|
Style Transfer (I8)
|
100% |
140661
185.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15532
554.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19821
707.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19681
702.9 IPS |
|
|
Text Classification (F32)
|
100% |
809
1.16 KIPS |
|
|
Text Classification (F16)
|
100% |
793
1.14 KIPS |
|
|
Text Classification (I8)
|
96% |
658
946.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1754
32.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1772
32.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1759
32.4 IPS |
