System manufacturer System Product Name
Geekbench AI Score
2337
Single Precision Score
840
Half Precision Score
1774
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | December 15 2025 06:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2696 v2 |
| 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 E5-2696 v2 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1900
353.4 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
1000
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2774
3.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
3596
4.25 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (HP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (Q)
|
58% |
1193
130.3 IPS |
|
|
Face Detection (SP)
|
100% |
4443
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
937
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
3403
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4891
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1175
9.05 IPS |
|
|
Depth Estimation (Q)
|
78% |
3451
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9179
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7272
9.35 IPS |
|
|
Style Transfer (Q)
|
87% |
6744
8.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1292
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
756
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
353
471.8 IPS |
|
|
Text Classification (Q)
|
97% |
313
418.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1387
26.8 IPS |
