Tycho Generic
Geekbench AI Score
25866
Single Precision Score
28312
Half Precision Score
18428
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | danhallock |
| Upload Date | February 14 2026 03:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X570 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11002
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
10414
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
8596
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16797
272.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14111
228.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13873
225.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
188627
220.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
266048
310.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
153445
179.8 IPS |
|
|
Object Detection (SP)
|
100% |
11621
921.8 IPS |
|
|
Object Detection (HP)
|
100% |
12260
972.5 IPS |
|
|
Object Detection (Q)
|
87% |
9317
748.3 IPS |
|
|
Face Detection (SP)
|
100% |
32607
387.4 IPS |
|
|
Face Detection (HP)
|
100% |
35275
419.1 IPS |
|
|
Face Detection (Q)
|
97% |
25927
309.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
62338
480.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
68090
524.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
45542
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
335311
431.0 IPS |
|
|
Style Transfer (HP)
|
100% |
439330
564.8 IPS |
|
|
Style Transfer (Q)
|
98% |
258777
333.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38522
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43842
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25739
953.1 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3388
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1601
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2104
39.5 IPS |
