Generic
Geekbench AI Score
13317
Single Precision Score
21561
Half Precision Score
9246
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | oouc |
| Upload Date | December 06 2025 06:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5620
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8759
1.63 KIPS |
|
|
Image Classification (Q)
|
99% |
4261
794.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8533
138.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11462
185.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
6983
113.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
71187
83.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
201135
234.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
59205
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
6611
524.4 IPS |
|
|
Object Detection (HP)
|
100% |
10338
820.0 IPS |
|
|
Object Detection (Q)
|
84% |
5105
411.7 IPS |
|
|
Face Detection (SP)
|
100% |
15904
189.0 IPS |
|
|
Face Detection (HP)
|
100% |
23382
277.8 IPS |
|
|
Face Detection (Q)
|
97% |
12377
147.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33560
258.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
62079
478.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
23220
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
122034
156.9 IPS |
|
|
Style Transfer (HP)
|
100% |
275954
354.7 IPS |
|
|
Style Transfer (Q)
|
98% |
97326
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22552
832.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33289
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13388
495.7 IPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
99% |
2737
3.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1097
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2870
49.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2851
49.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1237
23.2 IPS |
