System manufacturer System Product Name
Geekbench AI Score
28872
Single Precision Score
49868
Half Precision Score
22581
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Lidacane |
| Upload Date | October 20 2025 11:40 PM |
| Views | 3 |
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% |
11046
2.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18492
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
10033
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21162
343.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
30394
492.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
19377
315.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
174574
203.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
506340
590.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
149515
175.1 IPS |
|
|
Object Detection (SP)
|
100% |
15360
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
25080
1.99 KIPS |
|
|
Object Detection (Q)
|
83% |
12942
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
42615
506.4 IPS |
|
|
Face Detection (HP)
|
100% |
64793
769.9 IPS |
|
|
Face Detection (Q)
|
97% |
36303
432.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71804
553.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
138030
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
56397
450.1 IPS |
|
|
Style Transfer (SP)
|
100% |
237336
305.1 IPS |
|
|
Style Transfer (HP)
|
100% |
802305
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
205472
265.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41620
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74624
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33230
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2235
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6217
107.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2934
55.0 IPS |
