Apple Inc. MacPro7,1
Geekbench ML Score
221
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 06:33 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Apple Inc. MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3235 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 19.2 MB x 1 |
| Memory Information | |
|---|---|
| Size | 94.23 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
73
13.6 IPS |
|
|
Image Classification (F16)
|
100% |
85
16.0 IPS |
|
|
Image Classification (I8)
|
99% |
28
5.32 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.07 IPS |
|
|
Image Segmentation (F16)
|
100% |
189
3.16 IPS |
|
|
Image Segmentation (I8)
|
98% |
206
3.43 IPS |
|
|
Pose Estimation (F32)
|
100% |
928
1.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
797
0.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
987
1.20 IPS |
|
|
Object Detection (F32)
|
100% |
48
3.62 IPS |
|
|
Object Detection (F16)
|
100% |
52
3.90 IPS |
|
|
Object Detection (I8)
|
65% |
49
3.68 IPS |
|
|
Face Detection (F32)
|
100% |
181
2.16 IPS |
|
|
Face Detection (F16)
|
100% |
169
2.01 IPS |
|
|
Face Detection (I8)
|
87% |
135
1.61 IPS |
|
|
Depth Estimation (F32)
|
100% |
141
1.09 IPS |
|
|
Depth Estimation (F16)
|
100% |
485
3.76 IPS |
|
|
Depth Estimation (I8)
|
95% |
265
2.05 IPS |
|
|
Style Transfer (F32)
|
100% |
1506
1.98 IPS |
|
|
Style Transfer (F16)
|
100% |
1609
2.12 IPS |
|
|
Style Transfer (I8)
|
98% |
2260
2.97 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
172
6.15 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
497
17.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
161
5.75 IPS |
|
|
Text Classification (F32)
|
100% |
89
127.9 IPS |
|
|
Text Classification (F16)
|
100% |
268
385.8 IPS |
|
|
Text Classification (I8)
|
92% |
22
31.8 IPS |
|
|
Machine Translation (F32)
|
100% |
437
8.04 IPS |
|
|
Machine Translation (F16)
|
100% |
1271
23.4 IPS |
|
|
Machine Translation (I8)
|
62% |
132
2.43 IPS |
