System manufacturer System Product Name
Geekbench AI Score
32365
Single Precision Score
35458
Half Precision Score
22077
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:51 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13650
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
13413
2.49 KIPS |
|
|
Image Classification (Q)
|
99% |
10950
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22000
356.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17684
286.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7528
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
207692
242.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
321681
375.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
168891
197.9 IPS |
|
|
Object Detection (SP)
|
100% |
14631
1.16 KIPS |
|
|
Object Detection (HP)
|
100% |
15108
1.20 KIPS |
|
|
Object Detection (Q)
|
87% |
12158
976.4 IPS |
|
|
Face Detection (SP)
|
100% |
42147
500.8 IPS |
|
|
Face Detection (HP)
|
100% |
43845
521.0 IPS |
|
|
Face Detection (Q)
|
97% |
32480
387.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
75501
581.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81180
625.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
56388
452.8 IPS |
|
|
Style Transfer (SP)
|
100% |
368036
473.1 IPS |
|
|
Style Transfer (HP)
|
100% |
502564
646.1 IPS |
|
|
Style Transfer (Q)
|
98% |
299524
386.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43065
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50813
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31293
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
4455
5.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4728
6.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2852
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6151
105.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6343
109.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3319
62.3 IPS |
