Apple Inc. MacPro7,1
Geekbench ML Score
997
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Linux AVX2
Result Information
| Upload Date | August 16 2024 06:30 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% |
1282
240.0 IPS |
|
|
Image Classification (F16)
|
100% |
1344
251.5 IPS |
|
|
Image Classification (I8)
|
99% |
751
140.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1954
32.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1951
32.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
685
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2535
3.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
2551
3.09 IPS |
|
|
Pose Estimation (I8)
|
100% |
3021
3.66 IPS |
|
|
Object Detection (F32)
|
100% |
1435
107.2 IPS |
|
|
Object Detection (F16)
|
100% |
1439
107.4 IPS |
|
|
Object Detection (I8)
|
65% |
897
67.0 IPS |
|
|
Face Detection (F32)
|
100% |
2443
29.0 IPS |
|
|
Face Detection (F16)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (I8)
|
87% |
1653
19.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2483
19.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2518
19.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2006
15.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2766
3.64 IPS |
|
|
Style Transfer (F16)
|
100% |
1845
2.43 IPS |
|
|
Style Transfer (I8)
|
98% |
2321
3.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1029
36.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
791
28.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
256
9.13 IPS |
|
|
Text Classification (F32)
|
100% |
845
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
234
336.7 IPS |
|
|
Text Classification (I8)
|
92% |
253
364.0 IPS |
|
|
Machine Translation (F32)
|
100% |
149
2.75 IPS |
|
|
Machine Translation (F16)
|
100% |
48
0.88 IPS |
|
|
Machine Translation (I8)
|
62% |
67
1.23 IPS |
