GPU-800W INTEL X99
Geekbench AI Score
20476
Single Precision Score
30071
Half Precision Score
16977
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MiroYar |
| Upload Date | May 21 2025 04:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7609
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
10398
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
6885
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12058
195.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13926
225.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
11245
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
159735
186.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
480414
560.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
143800
168.4 IPS |
|
|
Object Detection (SP)
|
100% |
9919
786.8 IPS |
|
|
Object Detection (HP)
|
100% |
12727
1.01 KIPS |
|
|
Object Detection (Q)
|
86% |
8751
703.1 IPS |
|
|
Face Detection (SP)
|
100% |
25978
308.7 IPS |
|
|
Face Detection (HP)
|
100% |
32168
382.2 IPS |
|
|
Face Detection (Q)
|
97% |
24188
288.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
66915
515.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101721
783.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
53048
423.6 IPS |
|
|
Style Transfer (SP)
|
100% |
268865
345.6 IPS |
|
|
Style Transfer (HP)
|
100% |
646079
830.5 IPS |
|
|
Style Transfer (Q)
|
98% |
229832
296.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30098
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45871
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25038
927.1 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1484
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3037
52.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3039
52.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1864
35.0 IPS |
