Generic
Geekbench AI Score
9757
Single Precision Score
10874
Half Precision Score
7635
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lcastell |
| Upload Date | December 31 2024 12:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock B450M Pro4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4220
784.8 IPS |
|
|
Image Classification (HP)
|
100% |
4479
833.0 IPS |
|
|
Image Classification (Q)
|
100% |
3648
678.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4002
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3716
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
78916
92.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
114441
133.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
66211
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
3376
267.8 IPS |
|
|
Object Detection (HP)
|
100% |
4190
332.4 IPS |
|
|
Object Detection (Q)
|
87% |
3027
243.1 IPS |
|
|
Face Detection (SP)
|
100% |
10106
120.1 IPS |
|
|
Face Detection (HP)
|
100% |
11049
131.3 IPS |
|
|
Face Detection (Q)
|
97% |
8818
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
32639
251.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33931
261.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
24522
196.9 IPS |
|
|
Style Transfer (SP)
|
100% |
142472
183.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169439
217.8 IPS |
|
|
Style Transfer (Q)
|
98% |
117467
151.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19453
718.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22504
831.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13836
512.3 IPS |
|
|
Text Classification (SP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (Q)
|
97% |
943
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (Q)
|
70% |
748
14.0 IPS |
