Epyc 4004 1u build Giga Computing R113-C10-AA02-000
Geekbench AI Score
37142
Single Precision Score
50841
Half Precision Score
31711
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | joslloyd |
| Upload Date | January 03 2026 06:27 AM |
| Views | 10 |
| Notes | Giga Computing R113-C10-AA02-000 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Giga Computing R113-C10-AA02-000 |
| Motherboard | Giga Computing MC13-LE0-000 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4464P 12-Core Processor |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17129
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
19809
3.68 KIPS |
|
|
Image Classification (Q)
|
99% |
16155
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19598
317.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23792
385.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
26796
435.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
214908
250.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
688602
803.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
196982
230.7 IPS |
|
|
Object Detection (SP)
|
100% |
18354
1.46 KIPS |
|
|
Object Detection (HP)
|
99% |
22203
1.76 KIPS |
|
|
Object Detection (Q)
|
87% |
17056
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
55355
657.7 IPS |
|
|
Face Detection (HP)
|
100% |
63444
753.8 IPS |
|
|
Face Detection (Q)
|
97% |
49130
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90234
695.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
134463
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74978
600.9 IPS |
|
|
Style Transfer (SP)
|
100% |
405993
521.9 IPS |
|
|
Style Transfer (HP)
|
100% |
735136
945.0 IPS |
|
|
Style Transfer (Q)
|
98% |
373539
481.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55651
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89988
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45604
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
97% |
2648
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
7139
123.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7132
122.9 IPS |
|
|
Machine Translation (Q)
|
70% |
4255
79.8 IPS |
