ASUS System Product Name
Geekbench AI Score
28285
Single Precision Score
31250
Half Precision Score
21259
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:44 AM |
| Views | 2 |
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 | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-I GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12978
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
12758
2.37 KIPS |
|
|
Image Classification (Q)
|
99% |
10316
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15331
248.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14080
228.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14209
231.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
183373
214.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
289345
337.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
151302
177.3 IPS |
|
|
Object Detection (SP)
|
100% |
12926
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
13455
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
10198
819.1 IPS |
|
|
Face Detection (SP)
|
100% |
36066
428.5 IPS |
|
|
Face Detection (HP)
|
100% |
39377
467.9 IPS |
|
|
Face Detection (Q)
|
97% |
29129
347.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
69468
535.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
73759
568.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
48837
392.2 IPS |
|
|
Style Transfer (SP)
|
100% |
339050
435.9 IPS |
|
|
Style Transfer (HP)
|
100% |
449242
577.5 IPS |
|
|
Style Transfer (Q)
|
98% |
262559
338.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40438
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48416
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29403
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
4199
5.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2690
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4819
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2823
52.9 IPS |
