Generic
Geekbench AI Score
35290
Single Precision Score
49261
Half Precision Score
29280
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 11:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B550 Phantom Gaming-ITX/ax |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12518
2.33 KIPS |
|
|
Image Classification (HP)
|
100% |
14321
2.66 KIPS |
|
|
Image Classification (Q)
|
99% |
11384
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21597
350.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
27476
445.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
20032
325.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
235673
275.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
640566
747.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
213719
250.3 IPS |
|
|
Object Detection (SP)
|
100% |
12238
970.7 IPS |
|
|
Object Detection (HP)
|
99% |
16366
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
11308
908.2 IPS |
|
|
Face Detection (SP)
|
100% |
43062
511.7 IPS |
|
|
Face Detection (HP)
|
100% |
49427
587.3 IPS |
|
|
Face Detection (Q)
|
97% |
38351
457.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
92970
716.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
142180
1.10 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78144
626.2 IPS |
|
|
Style Transfer (SP)
|
100% |
431272
554.4 IPS |
|
|
Style Transfer (HP)
|
100% |
759741
976.7 IPS |
|
|
Style Transfer (Q)
|
98% |
394944
509.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57702
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93558
3.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46238
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
4951
6.61 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
97% |
3497
4.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
7790
134.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7777
134.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4391
82.4 IPS |
