Generic
Geekbench AI Score
13477
Single Precision Score
15211
Half Precision Score
11290
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 09:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M-HDV R4.0 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7293
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
7293
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
6360
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4913
79.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4053
65.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4433
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103051
120.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153291
178.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
90255
105.7 IPS |
|
|
Object Detection (SP)
|
100% |
5288
419.4 IPS |
|
|
Object Detection (HP)
|
99% |
7658
607.4 IPS |
|
|
Object Detection (Q)
|
87% |
5563
446.8 IPS |
|
|
Face Detection (SP)
|
100% |
12553
149.2 IPS |
|
|
Face Detection (HP)
|
100% |
12517
148.7 IPS |
|
|
Face Detection (Q)
|
97% |
11992
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
47436
365.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
53959
415.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37346
299.5 IPS |
|
|
Style Transfer (SP)
|
100% |
174165
223.9 IPS |
|
|
Style Transfer (HP)
|
100% |
248865
319.9 IPS |
|
|
Style Transfer (Q)
|
98% |
156022
201.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26822
990.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31718
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19482
721.4 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1530
2.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1522
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1538
26.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1142
21.4 IPS |
