Apple Inc. MacPro5,1
Geekbench ML Score
6377
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 17 2024 10:12 PM |
| Views | 4 |
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% |
3476
650.4 IPS |
|
|
Image Classification (F16)
|
100% |
3441
644.0 IPS |
|
|
Image Classification (I8)
|
99% |
2982
558.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
2862
47.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2864
47.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
2715
45.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
87992
106.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
84913
102.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
73032
88.4 IPS |
|
|
Object Detection (F32)
|
100% |
1375
102.6 IPS |
|
|
Object Detection (F16)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (I8)
|
61% |
1257
93.9 IPS |
|
|
Face Detection (F32)
|
100% |
8178
97.2 IPS |
|
|
Face Detection (F16)
|
100% |
7835
93.2 IPS |
|
|
Face Detection (I8)
|
88% |
7429
88.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
21400
166.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
21295
165.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
18184
141.0 IPS |
|
|
Style Transfer (F32)
|
100% |
105602
138.9 IPS |
|
|
Style Transfer (F16)
|
100% |
102506
134.8 IPS |
|
|
Style Transfer (I8)
|
98% |
89808
118.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9876
352.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10229
365.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8063
287.9 IPS |
|
|
Text Classification (F32)
|
100% |
1077
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
1065
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
665
955.2 IPS |
|
|
Machine Translation (F32)
|
100% |
907
16.7 IPS |
|
|
Machine Translation (F16)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (I8)
|
69% |
693
12.7 IPS |
