Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME
Geekbench AI Score
27819
Single Precision Score
29914
Half Precision Score
21779
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 19 2025 08:32 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| Power Plan | Ultimate Performance |
| 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 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11510
2.14 KIPS |
|
|
Image Classification (HP)
|
100% |
11187
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
9619
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21041
341.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17122
277.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16832
273.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
211472
246.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
301229
351.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
169840
199.0 IPS |
|
|
Object Detection (SP)
|
100% |
11830
938.3 IPS |
|
|
Object Detection (HP)
|
100% |
12493
991.0 IPS |
|
|
Object Detection (Q)
|
87% |
10168
816.6 IPS |
|
|
Face Detection (SP)
|
100% |
35488
421.7 IPS |
|
|
Face Detection (HP)
|
100% |
38248
454.5 IPS |
|
|
Face Detection (Q)
|
97% |
28745
342.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68881
530.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
72476
558.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
52820
424.1 IPS |
|
|
Style Transfer (SP)
|
100% |
338831
435.6 IPS |
|
|
Style Transfer (HP)
|
100% |
447588
575.4 IPS |
|
|
Style Transfer (Q)
|
98% |
272620
351.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38843
1.43 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44661
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29104
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2188
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5595
96.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5823
100.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3258
61.1 IPS |
