ASUS System Product Name
Geekbench AI Score
28481
Single Precision Score
30834
Half Precision Score
20682
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 04:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z690-A |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12442
2.31 KIPS |
|
|
Image Classification (HP)
|
100% |
11914
2.22 KIPS |
|
|
Image Classification (Q)
|
100% |
9596
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17429
282.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14629
237.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14638
238.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
192911
225.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
292164
340.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
160292
187.8 IPS |
|
|
Object Detection (SP)
|
100% |
12249
971.6 IPS |
|
|
Object Detection (HP)
|
100% |
12293
975.1 IPS |
|
|
Object Detection (Q)
|
89% |
9615
770.0 IPS |
|
|
Face Detection (SP)
|
100% |
33276
395.4 IPS |
|
|
Face Detection (HP)
|
100% |
35557
422.5 IPS |
|
|
Face Detection (Q)
|
97% |
25285
301.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
67995
523.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
73101
563.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
48447
390.6 IPS |
|
|
Style Transfer (SP)
|
100% |
348505
448.0 IPS |
|
|
Style Transfer (HP)
|
100% |
461023
592.7 IPS |
|
|
Style Transfer (Q)
|
98% |
279221
360.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42609
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48975
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30201
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
4378
5.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4495
6.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2738
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4660
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4705
81.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2339
52.2 IPS |
