Generic
Geekbench AI Score
23371
Single Precision Score
36205
Half Precision Score
14060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dglow |
| Upload Date | May 30 2025 03:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9174
1.71 KIPS |
|
|
Image Classification (HP)
|
99% |
13313
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
6161
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16744
271.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24633
399.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11824
192.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
134447
156.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
383014
446.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
104617
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
11618
921.6 IPS |
|
|
Object Detection (HP)
|
100% |
17247
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
7870
633.1 IPS |
|
|
Face Detection (SP)
|
100% |
31464
373.9 IPS |
|
|
Face Detection (HP)
|
100% |
46097
547.7 IPS |
|
|
Face Detection (Q)
|
97% |
21142
252.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
58471
450.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
97770
753.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34588
277.1 IPS |
|
|
Style Transfer (SP)
|
100% |
243525
313.1 IPS |
|
|
Style Transfer (HP)
|
100% |
565038
726.4 IPS |
|
|
Style Transfer (Q)
|
98% |
172958
223.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34637
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43303
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18811
696.5 IPS |
|
|
Text Classification (SP)
|
100% |
2752
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
3444
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1353
1.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4704
81.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1564
29.3 IPS |
