Acidanthera MacPro7,1
Geekbench AI Score
17283
Single Precision Score
19490
Half Precision Score
15244
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ajopheim31 |
| Upload Date | December 09 2024 09:47 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acidanthera MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6963
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6851
1.27 KIPS |
|
|
Image Classification (Q)
|
99% |
6313
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6619
107.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5994
97.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7251
117.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
168442
196.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
232400
271.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
137580
161.2 IPS |
|
|
Object Detection (SP)
|
100% |
9537
756.5 IPS |
|
|
Object Detection (HP)
|
100% |
9387
744.6 IPS |
|
|
Object Detection (Q)
|
87% |
8008
643.1 IPS |
|
|
Face Detection (SP)
|
100% |
22575
268.2 IPS |
|
|
Face Detection (HP)
|
100% |
21683
257.6 IPS |
|
|
Face Detection (Q)
|
97% |
21156
252.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
55693
429.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
59019
454.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
41042
329.6 IPS |
|
|
Style Transfer (SP)
|
100% |
277472
356.7 IPS |
|
|
Style Transfer (HP)
|
100% |
353709
454.7 IPS |
|
|
Style Transfer (Q)
|
98% |
223877
288.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32896
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37385
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24016
889.3 IPS |
|
|
Text Classification (SP)
|
100% |
1749
2.33 KIPS |
|
|
Text Classification (HP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (Q)
|
97% |
1777
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1601
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1620
30.4 IPS |
