ASUS System Product Name
Geekbench AI Score
29081
Single Precision Score
44832
Half Precision Score
22129
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rgba |
| Upload Date | December 03 2024 09:44 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-G GAMING WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12026
2.24 KIPS |
|
|
Image Classification (HP)
|
99% |
18252
3.40 KIPS |
|
|
Image Classification (Q)
|
100% |
10577
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18942
307.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23970
388.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17154
278.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
163311
190.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
433941
506.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
145751
170.8 IPS |
|
|
Object Detection (SP)
|
100% |
14451
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
22620
1.79 KIPS |
|
|
Object Detection (Q)
|
85% |
11906
957.8 IPS |
|
|
Face Detection (SP)
|
100% |
39102
464.6 IPS |
|
|
Face Detection (HP)
|
100% |
51686
614.1 IPS |
|
|
Face Detection (Q)
|
97% |
33544
400.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
66340
511.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
123190
951.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
49354
394.6 IPS |
|
|
Style Transfer (SP)
|
100% |
311523
400.5 IPS |
|
|
Style Transfer (HP)
|
100% |
761496
978.9 IPS |
|
|
Style Transfer (Q)
|
98% |
268099
345.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50227
1.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63651
2.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36296
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
3970
5.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4978
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2263
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4995
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4972
85.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2454
46.0 IPS |
