System manufacturer System Product Name
Geekbench AI Score
17112
Single Precision Score
20665
Half Precision Score
13854
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | scurry |
| Upload Date | December 08 2024 03:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450M-K |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7576
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
9118
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6821
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9614
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8384
135.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8570
139.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
104002
121.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160615
187.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92427
108.3 IPS |
|
|
Object Detection (SP)
|
100% |
6380
506.0 IPS |
|
|
Object Detection (HP)
|
99% |
9408
746.2 IPS |
|
|
Object Detection (Q)
|
89% |
5850
468.2 IPS |
|
|
Face Detection (SP)
|
100% |
18983
225.6 IPS |
|
|
Face Detection (HP)
|
100% |
23137
274.9 IPS |
|
|
Face Detection (Q)
|
97% |
15376
183.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
48214
371.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
58315
449.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
39278
320.7 IPS |
|
|
Style Transfer (SP)
|
100% |
176492
226.9 IPS |
|
|
Style Transfer (HP)
|
100% |
257837
331.5 IPS |
|
|
Style Transfer (Q)
|
98% |
154425
199.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29118
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35275
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23136
856.7 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
3145
4.20 KIPS |
|
|
Text Classification (Q)
|
97% |
2316
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1650
36.8 IPS |
