Generic
Geekbench AI Score
36676
Single Precision Score
51476
Half Precision Score
30275
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 10:59 PM |
| Views | 4 |
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% |
12373
2.30 KIPS |
|
|
Image Classification (HP)
|
100% |
13712
2.55 KIPS |
|
|
Image Classification (Q)
|
99% |
10914
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21761
352.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
27610
447.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20051
326.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
234898
274.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
679258
792.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
210621
246.7 IPS |
|
|
Object Detection (SP)
|
100% |
16123
1.28 KIPS |
|
|
Object Detection (HP)
|
99% |
21989
1.74 KIPS |
|
|
Object Detection (Q)
|
87% |
14292
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
54790
651.0 IPS |
|
|
Face Detection (HP)
|
100% |
64576
767.3 IPS |
|
|
Face Detection (Q)
|
97% |
48530
578.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
94272
726.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
140859
1.09 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78112
626.0 IPS |
|
|
Style Transfer (SP)
|
100% |
436015
560.5 IPS |
|
|
Style Transfer (HP)
|
100% |
769663
989.4 IPS |
|
|
Style Transfer (Q)
|
98% |
394847
509.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57537
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91529
3.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45911
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
4492
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
3261
4.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
7420
127.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7655
131.9 IPS |
|
|
Machine Translation (Q)
|
70% |
4383
82.2 IPS |
