System manufacturer System Product Name
Geekbench AI Score
12232
Single Precision Score
14045
Half Precision Score
10237
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF X470-PLUS GAMING |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5837
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
5664
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
5467
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7256
117.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5946
96.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6366
103.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
69888
81.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
110999
129.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
59760
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.0 IPS |
|
|
Object Detection (HP)
|
100% |
6204
492.1 IPS |
|
|
Object Detection (Q)
|
87% |
4314
346.5 IPS |
|
|
Face Detection (SP)
|
100% |
12878
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
17628
209.5 IPS |
|
|
Face Detection (Q)
|
97% |
12475
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
34124
262.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39957
307.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
26113
209.7 IPS |
|
|
Style Transfer (SP)
|
100% |
139117
178.8 IPS |
|
|
Style Transfer (HP)
|
100% |
175974
226.2 IPS |
|
|
Style Transfer (Q)
|
98% |
114840
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22830
843.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27396
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16842
623.6 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1521
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1900
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1716
29.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1471
27.6 IPS |
