Apple Inc. MacPro7,1
Geekbench ML Score
1656
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 11:20 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% |
1364
255.3 IPS |
|
|
Image Classification (F16)
|
100% |
1352
253.0 IPS |
|
|
Image Classification (I8)
|
99% |
749
140.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1960
32.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1966
32.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
691
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2577
3.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
2549
3.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
3017
3.65 IPS |
|
|
Object Detection (F32)
|
100% |
1405
104.9 IPS |
|
|
Object Detection (F16)
|
100% |
1437
107.2 IPS |
|
|
Object Detection (I8)
|
65% |
897
67.0 IPS |
|
|
Face Detection (F32)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (F16)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (I8)
|
87% |
1663
19.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2522
19.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2529
19.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
2000
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
3091
4.07 IPS |
|
|
Style Transfer (F16)
|
100% |
3115
4.10 IPS |
|
|
Style Transfer (I8)
|
98% |
4935
6.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1608
57.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1594
56.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1339
47.8 IPS |
|
|
Text Classification (F32)
|
100% |
1088
1.56 KIPS |
|
|
Text Classification (F16)
|
100% |
1087
1.56 KIPS |
|
|
Text Classification (I8)
|
92% |
438
629.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2049
37.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2039
37.5 IPS |
|
|
Machine Translation (I8)
|
62% |
513
9.44 IPS |
