Acidanthera iMacPro1,1
Geekbench ML Score
8891
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:15 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% |
5415
1.01 KIPS |
|
|
Image Classification (F16)
|
100% |
5101
954.5 IPS |
|
|
Image Classification (I8)
|
99% |
4515
844.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
5647
94.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
5598
93.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
5157
86.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
90631
109.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
92154
111.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
75872
91.9 IPS |
|
|
Object Detection (F32)
|
100% |
2146
160.2 IPS |
|
|
Object Detection (F16)
|
100% |
2171
162.1 IPS |
|
|
Object Detection (I8)
|
67% |
1966
146.8 IPS |
|
|
Face Detection (F32)
|
100% |
8757
104.1 IPS |
|
|
Face Detection (F16)
|
100% |
8821
104.9 IPS |
|
|
Face Detection (I8)
|
89% |
12095
143.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
25101
194.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
22616
175.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
19342
150.0 IPS |
|
|
Style Transfer (F32)
|
100% |
96164
126.5 IPS |
|
|
Style Transfer (F16)
|
100% |
94649
124.5 IPS |
|
|
Style Transfer (I8)
|
98% |
84648
111.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10582
377.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11112
396.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8029
286.7 IPS |
|
|
Text Classification (F32)
|
100% |
1516
2.18 KIPS |
|
|
Text Classification (F16)
|
100% |
1508
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1081
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
2625
48.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2510
46.2 IPS |
|
|
Machine Translation (I8)
|
69% |
2058
37.9 IPS |
