Acidanthera iMacPro1,1
Geekbench ML Score
10071
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 06:17 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% |
5642
1.06 KIPS |
|
|
Image Classification (F16)
|
100% |
5546
1.04 KIPS |
|
|
Image Classification (I8)
|
99% |
4762
891.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
5787
96.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
5801
96.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
5253
87.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
92105
111.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
92242
111.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
76632
92.8 IPS |
|
|
Object Detection (F32)
|
100% |
2946
219.9 IPS |
|
|
Object Detection (F16)
|
100% |
3194
238.4 IPS |
|
|
Object Detection (I8)
|
67% |
3057
228.2 IPS |
|
|
Face Detection (F32)
|
100% |
16479
195.9 IPS |
|
|
Face Detection (F16)
|
100% |
16661
198.1 IPS |
|
|
Face Detection (I8)
|
89% |
13599
161.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
34447
267.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
34506
267.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
21564
167.2 IPS |
|
|
Style Transfer (F32)
|
100% |
95247
125.3 IPS |
|
|
Style Transfer (F16)
|
100% |
96003
126.3 IPS |
|
|
Style Transfer (I8)
|
98% |
83221
109.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11059
394.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
10916
389.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8165
291.6 IPS |
|
|
Text Classification (F32)
|
100% |
1536
2.21 KIPS |
|
|
Text Classification (F16)
|
100% |
1527
2.20 KIPS |
|
|
Text Classification (I8)
|
98% |
1062
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
2538
46.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2536
46.7 IPS |
|
|
Machine Translation (I8)
|
69% |
2185
40.2 IPS |
