ASUS System Product Name
Geekbench AI Score
28694
Single Precision Score
31168
Half Precision Score
20904
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 14 2024 04:22 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% |
12458
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
12144
2.26 KIPS |
|
|
Image Classification (Q)
|
100% |
9368
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17368
281.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14584
236.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
14592
237.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
196310
229.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
291531
340.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
163863
192.0 IPS |
|
|
Object Detection (SP)
|
100% |
12289
974.7 IPS |
|
|
Object Detection (HP)
|
100% |
12250
971.7 IPS |
|
|
Object Detection (Q)
|
89% |
9799
784.7 IPS |
|
|
Face Detection (SP)
|
100% |
33615
399.4 IPS |
|
|
Face Detection (HP)
|
100% |
35930
426.9 IPS |
|
|
Face Detection (Q)
|
97% |
25600
305.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
70136
540.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75283
580.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
49655
400.3 IPS |
|
|
Style Transfer (SP)
|
100% |
352174
452.7 IPS |
|
|
Style Transfer (HP)
|
100% |
480820
618.1 IPS |
|
|
Style Transfer (Q)
|
98% |
284663
367.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42682
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49557
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30539
1.13 KIPS |
|
|
Text Classification (SP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4485
5.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2802
3.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4690
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4732
81.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2345
52.3 IPS |
