System manufacturer System Product Name
Geekbench AI Score
1594
Single Precision Score
670
Half Precision Score
1281
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | December 28 2025 04:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-4650 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV FORMULA |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-4650 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
1070
199.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
97% |
1209
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2332
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1747
2.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
2188
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (Q)
|
58% |
697
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
96% |
2268
27.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2970
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
985
7.59 IPS |
|
|
Depth Estimation (Q)
|
78% |
2304
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5607
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
4459
5.73 IPS |
|
|
Style Transfer (Q)
|
87% |
4501
5.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
868
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1050
38.9 IPS |
|
|
Text Classification (SP)
|
100% |
693
925.4 IPS |
|
|
Text Classification (HP)
|
100% |
308
411.6 IPS |
|
|
Text Classification (Q)
|
97% |
249
333.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1062
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.33 IPS |
|
|
Machine Translation (Q)
|
68% |
983
19.0 IPS |
