Ryzen 7 9700x AVX2 ASUS System Product Name
Geekbench AI Score
32574
Single Precision Score
49521
Half Precision Score
24730
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | tebruno99 |
| Upload Date | June 13 2025 09:03 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12968
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
19208
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11445
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23371
378.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31879
516.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21272
345.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
188825
220.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
467362
545.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
169378
198.5 IPS |
|
|
Object Detection (SP)
|
100% |
16048
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
24289
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
13399
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
46778
555.8 IPS |
|
|
Face Detection (HP)
|
100% |
63221
751.2 IPS |
|
|
Face Detection (Q)
|
97% |
39655
472.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
79825
615.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
130838
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
60039
480.0 IPS |
|
|
Style Transfer (SP)
|
100% |
345326
443.9 IPS |
|
|
Style Transfer (HP)
|
100% |
819410
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
303907
391.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51856
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66093
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36497
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4721
6.30 KIPS |
|
|
Text Classification (Q)
|
97% |
2148
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5962
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6034
103.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2730
51.2 IPS |
