Generic
Geekbench AI Score
10628
Single Precision Score
10140
Half Precision Score
7563
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | abufrejoval |
| Upload Date | October 17 2025 09:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Generic |
| Motherboard | ASRock X99 Extreme4 |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2696 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2893
537.9 IPS |
|
|
Image Classification (HP)
|
100% |
3976
739.4 IPS |
|
|
Image Classification (Q)
|
99% |
2587
482.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7341
119.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5817
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
86944
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
49513
57.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
65917
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
4120
326.8 IPS |
|
|
Object Detection (HP)
|
100% |
5417
429.7 IPS |
|
|
Object Detection (Q)
|
84% |
3361
271.0 IPS |
|
|
Face Detection (SP)
|
100% |
8095
96.2 IPS |
|
|
Face Detection (HP)
|
100% |
11335
134.7 IPS |
|
|
Face Detection (Q)
|
97% |
6528
77.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26967
207.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22083
170.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18565
148.7 IPS |
|
|
Style Transfer (SP)
|
100% |
143979
185.1 IPS |
|
|
Style Transfer (HP)
|
100% |
74830
96.2 IPS |
|
|
Style Transfer (Q)
|
98% |
104173
134.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21275
785.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15723
580.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12273
454.5 IPS |
|
|
Text Classification (SP)
|
100% |
1176
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
1699
2.27 KIPS |
|
|
Text Classification (Q)
|
97% |
807
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2936
50.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1469
27.6 IPS |
