Thirdwave Corporation XF
Geekbench AI Score
13454
Single Precision Score
21616
Half Precision Score
9197
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 02 2025 07:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Thirdwave Corporation XF |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B365-PLUS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700F |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5060
941.0 IPS |
|
|
Image Classification (HP)
|
100% |
7738
1.44 KIPS |
|
|
Image Classification (Q)
|
99% |
3916
730.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9250
149.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
12398
201.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7430
120.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
73850
86.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
202255
236.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61159
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
6653
527.7 IPS |
|
|
Object Detection (HP)
|
100% |
10346
820.6 IPS |
|
|
Object Detection (Q)
|
84% |
5181
417.9 IPS |
|
|
Face Detection (SP)
|
100% |
17202
204.4 IPS |
|
|
Face Detection (HP)
|
100% |
26427
314.0 IPS |
|
|
Face Detection (Q)
|
97% |
13625
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
33756
260.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60348
464.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
23537
188.6 IPS |
|
|
Style Transfer (SP)
|
100% |
125628
161.5 IPS |
|
|
Style Transfer (HP)
|
100% |
274460
352.8 IPS |
|
|
Style Transfer (Q)
|
98% |
100041
129.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21092
778.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29521
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13025
482.3 IPS |
|
|
Text Classification (SP)
|
100% |
1843
2.46 KIPS |
|
|
Text Classification (HP)
|
99% |
2864
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
925
1.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2981
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1216
22.8 IPS |
