Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX
Geekbench AI Score
30693
Single Precision Score
46902
Half Precision Score
23509
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | JulioSanchezD |
| Upload Date | January 21 2025 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12230
2.27 KIPS |
|
|
Image Classification (HP)
|
99% |
18717
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
10567
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19209
311.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25541
414.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18177
295.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
185821
216.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
454484
530.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
168029
196.9 IPS |
|
|
Object Detection (SP)
|
100% |
15157
1.20 KIPS |
|
|
Object Detection (HP)
|
100% |
23319
1.85 KIPS |
|
|
Object Detection (Q)
|
85% |
12964
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
42622
506.4 IPS |
|
|
Face Detection (HP)
|
100% |
56242
668.3 IPS |
|
|
Face Detection (Q)
|
97% |
37170
443.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
73369
565.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
131277
1.01 KIPS |
|
|
Depth Estimation (Q)
|
77% |
56377
450.7 IPS |
|
|
Style Transfer (SP)
|
100% |
342607
440.4 IPS |
|
|
Style Transfer (HP)
|
100% |
828857
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
300699
387.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51500
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64742
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36362
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5023
6.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2189
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5182
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5109
88.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2458
46.1 IPS |
