System manufacturer System Product Name
Geekbench AI Score
1965
Single Precision Score
804
Half Precision Score
1671
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | December 26 2025 07:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2670 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 E5-2670 v2 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1598
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.0 IPS |
|
|
Image Classification (Q)
|
96% |
1451
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
440
7.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1626
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3100
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
2976
3.52 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
100% |
374
29.6 IPS |
|
|
Object Detection (Q)
|
58% |
985
107.6 IPS |
|
|
Face Detection (SP)
|
100% |
3880
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
2913
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3943
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1131
8.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
2972
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7381
9.49 IPS |
|
|
Style Transfer (HP)
|
100% |
5958
7.66 IPS |
|
|
Style Transfer (Q)
|
87% |
5974
7.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
621
829.4 IPS |
|
|
Text Classification (HP)
|
100% |
365
486.6 IPS |
|
|
Text Classification (Q)
|
97% |
287
383.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
430
7.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1229
23.7 IPS |
