INTEL X99
Geekbench AI Score
7889
Single Precision Score
7964
Half Precision Score
5901
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Arwindpianist |
| Upload Date | November 16 2025 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL X99 |
| Motherboard | INTEL X99 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2036
378.6 IPS |
|
|
Image Classification (HP)
|
100% |
3166
588.8 IPS |
|
|
Image Classification (Q)
|
99% |
1813
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5330
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5134
83.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4432
72.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
59362
69.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32551
38.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
46873
54.9 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
100% |
4118
326.6 IPS |
|
|
Object Detection (Q)
|
84% |
2407
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
5464
64.9 IPS |
|
|
Face Detection (HP)
|
100% |
8225
97.7 IPS |
|
|
Face Detection (Q)
|
97% |
4889
58.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17887
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17021
131.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13939
111.2 IPS |
|
|
Style Transfer (SP)
|
100% |
95420
122.7 IPS |
|
|
Style Transfer (HP)
|
100% |
55610
71.5 IPS |
|
|
Style Transfer (Q)
|
98% |
72653
93.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14889
549.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12535
462.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9645
357.1 IPS |
|
|
Text Classification (SP)
|
100% |
1307
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1676
2.24 KIPS |
|
|
Text Classification (Q)
|
97% |
832
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2963
51.0 IPS |
|
|
Machine Translation (HP)
|
96% |
2883
49.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1423
26.7 IPS |
