Generic
Geekbench AI Score
34859
Single Precision Score
57175
Half Precision Score
26655
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dglow |
| Upload Date | September 14 2025 07:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550M-ITX/ac |
| Power Plan | Balanced |
| 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% |
13284
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
19153
3.56 KIPS |
|
|
Image Classification (Q)
|
100% |
11793
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25953
420.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35685
578.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22932
372.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
235020
274.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
720585
840.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
199645
233.9 IPS |
|
|
Object Detection (SP)
|
100% |
17938
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
26659
2.11 KIPS |
|
|
Object Detection (Q)
|
86% |
15466
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
54071
642.5 IPS |
|
|
Face Detection (HP)
|
100% |
77492
920.8 IPS |
|
|
Face Detection (Q)
|
97% |
44360
528.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
87997
678.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
167173
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65898
526.2 IPS |
|
|
Style Transfer (SP)
|
100% |
337132
433.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1066550
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
291883
376.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52322
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79045
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39889
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2167
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6509
112.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6476
111.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2940
55.1 IPS |
