Apple Inc. MacPro5,1
Geekbench ML Score
6356
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 09 2024 06:47 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. MacPro5,1 |
| Motherboard | Apple Inc. Mac-F221BEC8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5620 |
| Topology | 2 Processors, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 2.53 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 12.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon VII |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3623
677.9 IPS |
|
|
Image Classification (F16)
|
100% |
3592
672.2 IPS |
|
|
Image Classification (I8)
|
99% |
3042
569.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2825
47.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
3005
50.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2572
43.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
84238
102.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
88228
106.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
71180
86.2 IPS |
|
|
Object Detection (F32)
|
100% |
1367
102.0 IPS |
|
|
Object Detection (F16)
|
100% |
1389
103.7 IPS |
|
|
Object Detection (I8)
|
61% |
1271
94.9 IPS |
|
|
Face Detection (F32)
|
100% |
8754
104.1 IPS |
|
|
Face Detection (F16)
|
100% |
7842
93.2 IPS |
|
|
Face Detection (I8)
|
88% |
7698
91.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
22078
171.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
20952
162.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
15478
120.0 IPS |
|
|
Style Transfer (F32)
|
100% |
97724
128.5 IPS |
|
|
Style Transfer (F16)
|
100% |
97395
128.1 IPS |
|
|
Style Transfer (I8)
|
98% |
84847
111.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9878
352.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9745
348.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8006
285.9 IPS |
|
|
Text Classification (F32)
|
100% |
1078
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1045
1.50 KIPS |
|
|
Text Classification (I8)
|
98% |
669
961.3 IPS |
|
|
Machine Translation (F32)
|
100% |
945
17.4 IPS |
|
|
Machine Translation (F16)
|
100% |
944
17.4 IPS |
|
|
Machine Translation (I8)
|
69% |
714
13.1 IPS |
