System manufacturer System Product Name
Geekbench AI Score
17150
Single Precision Score
20544
Half Precision Score
13732
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | scurry |
| Upload Date | August 26 2024 05:59 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7756
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
9123
1.70 KIPS |
|
|
Image Classification (Q)
|
100% |
6953
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9177
148.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8307
134.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7973
129.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
101403
118.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
155709
181.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
89781
105.2 IPS |
|
|
Object Detection (SP)
|
100% |
6414
508.8 IPS |
|
|
Object Detection (HP)
|
99% |
9393
745.0 IPS |
|
|
Object Detection (Q)
|
89% |
5819
465.7 IPS |
|
|
Face Detection (SP)
|
100% |
18689
222.1 IPS |
|
|
Face Detection (HP)
|
100% |
22940
272.6 IPS |
|
|
Face Detection (Q)
|
97% |
15167
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47952
369.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55831
430.1 IPS |
|
|
Depth Estimation (Q)
|
73% |
38642
315.5 IPS |
|
|
Style Transfer (SP)
|
100% |
175635
225.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258041
331.7 IPS |
|
|
Style Transfer (Q)
|
98% |
155707
200.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28809
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35231
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23088
854.9 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
3355
4.48 KIPS |
|
|
Text Classification (Q)
|
97% |
2391
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3051
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1635
36.5 IPS |
