System manufacturer System Product Name
Geekbench AI Score
28657
Single Precision Score
49296
Half Precision Score
22442
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lida289 |
| Upload Date | December 15 2025 02:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11008
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
17798
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
10074
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21311
345.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
31341
508.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19349
314.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
172671
201.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
498914
582.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
147523
172.8 IPS |
|
|
Object Detection (SP)
|
100% |
15232
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
24533
1.95 KIPS |
|
|
Object Detection (Q)
|
83% |
12831
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
42435
504.2 IPS |
|
|
Face Detection (HP)
|
100% |
64199
762.8 IPS |
|
|
Face Detection (Q)
|
97% |
36171
431.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
71236
548.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
136232
1.05 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56397
450.2 IPS |
|
|
Style Transfer (SP)
|
100% |
238458
306.5 IPS |
|
|
Style Transfer (HP)
|
100% |
792610
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
204295
263.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40844
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72623
2.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33086
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3316
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
3910
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2173
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6202
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6306
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2932
55.0 IPS |
