ASUS System Product Name
Geekbench AI Score
27966
Single Precision Score
31103
Half Precision Score
21271
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 06:32 AM |
| Views | 1 |
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% |
12758
2.37 KIPS |
|
|
Image Classification (HP)
|
100% |
12403
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
10286
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15469
250.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14571
236.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
14658
238.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
184607
215.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
289380
337.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
149244
174.9 IPS |
|
|
Object Detection (SP)
|
100% |
12980
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
13044
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
10314
828.4 IPS |
|
|
Face Detection (SP)
|
100% |
35722
424.5 IPS |
|
|
Face Detection (HP)
|
100% |
38620
458.9 IPS |
|
|
Face Detection (Q)
|
97% |
29094
346.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
66226
510.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74359
572.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
50338
404.2 IPS |
|
|
Style Transfer (SP)
|
100% |
317257
407.8 IPS |
|
|
Style Transfer (HP)
|
100% |
435524
559.9 IPS |
|
|
Style Transfer (Q)
|
98% |
247041
318.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40739
1.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47794
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28857
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
4257
5.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4370
5.83 KIPS |
|
|
Text Classification (Q)
|
97% |
2754
3.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4756
81.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2842
53.3 IPS |
