Acidanthera iMacPro1,1
Geekbench ML Score
10082
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:16 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 | Hchstleistung |
| 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% |
5607
1.05 KIPS |
|
|
Image Classification (F16)
|
100% |
5494
1.03 KIPS |
|
|
Image Classification (I8)
|
99% |
4841
905.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
5805
96.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
5760
96.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
5198
86.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
92517
112.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
89214
108.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
76657
92.8 IPS |
|
|
Object Detection (F32)
|
100% |
2914
217.5 IPS |
|
|
Object Detection (F16)
|
100% |
3125
233.3 IPS |
|
|
Object Detection (I8)
|
67% |
3338
249.2 IPS |
|
|
Face Detection (F32)
|
100% |
16543
196.7 IPS |
|
|
Face Detection (F16)
|
100% |
16805
199.8 IPS |
|
|
Face Detection (I8)
|
89% |
13472
160.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
33383
258.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
35430
274.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
22106
171.4 IPS |
|
|
Style Transfer (F32)
|
100% |
94418
124.2 IPS |
|
|
Style Transfer (F16)
|
100% |
94835
124.7 IPS |
|
|
Style Transfer (I8)
|
98% |
82351
108.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10955
391.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
11068
395.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8321
297.2 IPS |
|
|
Text Classification (F32)
|
100% |
1544
2.22 KIPS |
|
|
Text Classification (F16)
|
100% |
1513
2.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1019
1.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
2620
48.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2581
47.5 IPS |
|
|
Machine Translation (I8)
|
69% |
2189
40.3 IPS |
