Default string Default string
Geekbench AI Score
39589
Single Precision Score
57894
Half Precision Score
29547
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ragnarokchan |
| Upload Date | May 01 2025 08:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14214
2.64 KIPS |
|
|
Image Classification (HP)
|
100% |
19298
3.59 KIPS |
|
|
Image Classification (Q)
|
100% |
11561
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28327
459.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
34335
556.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
26472
430.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
347928
406.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
779882
910.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
282766
331.2 IPS |
|
|
Object Detection (SP)
|
100% |
18757
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
23890
1.89 KIPS |
|
|
Object Detection (Q)
|
85% |
16017
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
55652
661.3 IPS |
|
|
Face Detection (HP)
|
100% |
68318
811.8 IPS |
|
|
Face Detection (Q)
|
97% |
45625
544.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
94204
725.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
167192
1.29 KIPS |
|
|
Depth Estimation (Q)
|
77% |
68071
545.2 IPS |
|
|
Style Transfer (SP)
|
100% |
512227
658.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1381335
1.78 KIPS |
|
|
Style Transfer (Q)
|
98% |
430292
554.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58490
2.16 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82984
3.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44103
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3869
5.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4522
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5788
99.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2756
51.7 IPS |
