System manufacturer System Product Name
Geekbench AI Score
26121
Single Precision Score
39856
Half Precision Score
20091
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | KyleThmpsn |
| Upload Date | June 15 2025 10:51 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X570-E GAMING |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10971
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
15006
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
9598
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14604
236.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18055
292.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13654
222.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
167669
195.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
569074
664.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
150477
176.5 IPS |
|
|
Object Detection (SP)
|
100% |
13489
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
17965
1.43 KIPS |
|
|
Object Detection (Q)
|
89% |
10879
871.1 IPS |
|
|
Face Detection (SP)
|
100% |
33309
395.8 IPS |
|
|
Face Detection (HP)
|
100% |
40998
487.1 IPS |
|
|
Face Detection (Q)
|
97% |
26739
318.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
77145
594.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
117512
905.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
56811
456.7 IPS |
|
|
Style Transfer (SP)
|
100% |
298926
384.3 IPS |
|
|
Style Transfer (HP)
|
100% |
820586
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
250813
323.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41580
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62954
2.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32476
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4099
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4004
69.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1966
43.9 IPS |
