MacPro7,1
Geekbench ML Score
9058
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | November 06 2024 02:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.7.1 (Build 22H221) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 16 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% |
6109
1.14 KIPS |
|
|
Image Classification (F16)
|
100% |
5996
1.12 KIPS |
|
|
Image Classification (I8)
|
99% |
5986
1.12 KIPS |
|
|
Image Segmentation (F32)
|
100% |
855
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
834
13.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
836
14.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
75721
91.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
72785
88.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
72259
87.5 IPS |
|
|
Object Detection (F32)
|
100% |
4851
362.2 IPS |
|
|
Object Detection (F16)
|
100% |
4745
354.2 IPS |
|
|
Object Detection (I8)
|
97% |
4665
348.3 IPS |
|
|
Face Detection (F32)
|
100% |
23038
273.9 IPS |
|
|
Face Detection (F16)
|
97% |
23708
281.9 IPS |
|
|
Face Detection (I8)
|
96% |
23884
284.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
33799
262.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
31390
243.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
31358
243.2 IPS |
|
|
Style Transfer (F32)
|
100% |
125283
164.8 IPS |
|
|
Style Transfer (F16)
|
100% |
121324
159.6 IPS |
|
|
Style Transfer (I8)
|
100% |
120678
158.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
14346
512.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19062
680.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18872
674.0 IPS |
|
|
Text Classification (F32)
|
100% |
918
1.32 KIPS |
|
|
Text Classification (F16)
|
36% |
909
1.31 KIPS |
|
|
Text Classification (I8)
|
36% |
916
1.32 KIPS |
|
|
Machine Translation (F32)
|
100% |
1667
30.7 IPS |
|
|
Machine Translation (F16)
|
0% |
1058
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1662
30.6 IPS |
