Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME
Geekbench AI Score
8420
Single Precision Score
8454
Half Precision Score
10338
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | April 17 2025 12:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 3970X 32-Core Processor |
| System Information | |
|---|---|
| Operating System | SUSE Linux Enterprise Server 15 SP7 |
| Model | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4019
747.5 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.5 IPS |
|
|
Image Classification (Q)
|
100% |
5705
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4173
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4408
71.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6586
107.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
22509
26.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
22319
26.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
26484
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
5070
402.1 IPS |
|
|
Object Detection (HP)
|
100% |
5097
404.3 IPS |
|
|
Object Detection (Q)
|
87% |
6964
558.6 IPS |
|
|
Face Detection (SP)
|
100% |
10732
127.5 IPS |
|
|
Face Detection (HP)
|
100% |
10731
127.5 IPS |
|
|
Face Detection (Q)
|
97% |
24754
295.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15892
122.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15637
120.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
22628
178.4 IPS |
|
|
Style Transfer (SP)
|
100% |
56350
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56962
73.2 IPS |
|
|
Style Transfer (Q)
|
98% |
71784
92.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9207
340.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9193
339.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11619
430.4 IPS |
|
|
Text Classification (SP)
|
100% |
2494
3.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2539
3.39 KIPS |
|
|
Text Classification (Q)
|
91% |
1033
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4242
73.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4247
73.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4171
71.9 IPS |
