Generic
Geekbench AI Score
10172
Single Precision Score
16639
Half Precision Score
7521
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | admtan |
| Upload Date | November 11 2025 09:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock X399 Taichi |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4545
845.2 IPS |
|
|
Image Classification (HP)
|
100% |
8081
1.50 KIPS |
|
|
Image Classification (Q)
|
99% |
3615
674.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5597
90.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7288
118.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5003
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
52655
61.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146436
170.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
44991
52.7 IPS |
|
|
Object Detection (SP)
|
100% |
5357
424.9 IPS |
|
|
Object Detection (HP)
|
100% |
8016
635.8 IPS |
|
|
Object Detection (Q)
|
84% |
4251
342.8 IPS |
|
|
Face Detection (SP)
|
100% |
13105
155.7 IPS |
|
|
Face Detection (HP)
|
100% |
19812
235.4 IPS |
|
|
Face Detection (Q)
|
97% |
10727
127.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27743
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
53583
412.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
20160
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
91382
117.5 IPS |
|
|
Style Transfer (HP)
|
100% |
210163
270.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76513
98.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15522
573.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24290
896.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9855
364.9 IPS |
|
|
Text Classification (SP)
|
100% |
1648
2.20 KIPS |
|
|
Text Classification (HP)
|
99% |
2278
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
965
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1945
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1064
19.9 IPS |
