System manufacturer System Product Name
Geekbench AI Score
1062
Single Precision Score
526
Half Precision Score
945
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | February 15 2026 05:39 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2640 |
| 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 E5-2640 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
870
161.8 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.1 IPS |
|
|
Image Classification (Q)
|
96% |
758
141.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
630
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
97% |
867
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1244
1.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
1586
1.88 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
536
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
2306
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
684
8.12 IPS |
|
|
Face Detection (Q)
|
96% |
1773
21.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2124
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
1463
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3140
4.04 IPS |
|
|
Style Transfer (HP)
|
100% |
3024
3.89 IPS |
|
|
Style Transfer (Q)
|
87% |
3345
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
679
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
438
584.2 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.5 IPS |
|
|
Text Classification (Q)
|
97% |
206
275.5 IPS |
|
|
Machine Translation (SP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
68% |
843
16.3 IPS |
