Acidanthera iMacPro1,1
Geekbench ML Score
9400
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:10 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acidanthera iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12600K |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5700 XT |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6215
1.16 KIPS |
|
|
Image Classification (F16)
|
100% |
5261
984.5 IPS |
|
|
Image Classification (I8)
|
99% |
4678
875.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
5245
87.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
5510
92.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
5035
84.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
90253
109.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
77805
94.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
76506
92.6 IPS |
|
|
Object Detection (F32)
|
100% |
2684
200.4 IPS |
|
|
Object Detection (F16)
|
100% |
2689
200.7 IPS |
|
|
Object Detection (I8)
|
67% |
2317
172.9 IPS |
|
|
Face Detection (F32)
|
100% |
16045
190.8 IPS |
|
|
Face Detection (F16)
|
100% |
15589
185.4 IPS |
|
|
Face Detection (I8)
|
89% |
11947
142.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
23609
183.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
24403
189.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
18979
147.2 IPS |
|
|
Style Transfer (F32)
|
100% |
94374
124.1 IPS |
|
|
Style Transfer (F16)
|
100% |
94702
124.6 IPS |
|
|
Style Transfer (I8)
|
98% |
84721
111.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10146
362.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10840
387.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8245
294.5 IPS |
|
|
Text Classification (F32)
|
100% |
1513
2.17 KIPS |
|
|
Text Classification (F16)
|
100% |
1507
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1096
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
2570
47.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2546
46.8 IPS |
|
|
Machine Translation (I8)
|
69% |
2137
39.3 IPS |
