System manufacturer System Product Name
Geekbench AI Score
31775
Single Precision Score
34625
Half Precision Score
23804
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | addiepie79 |
| Upload Date | May 22 2025 07:22 PM |
| Views | 8 |
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% |
13437
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
13190
2.45 KIPS |
|
|
Image Classification (Q)
|
99% |
10852
2.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21752
352.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17615
285.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17702
287.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
213026
248.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
324732
378.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
176908
207.3 IPS |
|
|
Object Detection (SP)
|
100% |
14469
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
14683
1.16 KIPS |
|
|
Object Detection (Q)
|
87% |
12032
966.3 IPS |
|
|
Face Detection (SP)
|
100% |
40101
476.5 IPS |
|
|
Face Detection (HP)
|
100% |
42955
510.4 IPS |
|
|
Face Detection (Q)
|
97% |
31844
379.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
75474
581.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
81533
628.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
56513
453.8 IPS |
|
|
Style Transfer (SP)
|
100% |
375032
482.1 IPS |
|
|
Style Transfer (HP)
|
100% |
503980
647.9 IPS |
|
|
Style Transfer (Q)
|
98% |
300461
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43277
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50873
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31487
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2535
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
6123
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6328
109.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3310
62.1 IPS |
