System manufacturer System Product Name
Geekbench AI Score
1991
Single Precision Score
821
Half Precision Score
1621
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MykolayZack |
| Upload Date | November 23 2025 11:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2667 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 E5-2667 v2 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (HP)
|
100% |
298
55.3 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
485
7.85 IPS |
|
|
Image Segmentation (Q)
|
97% |
925
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3001
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2215
2.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
2998
3.54 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
58% |
961
105.0 IPS |
|
|
Face Detection (SP)
|
100% |
3707
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
979
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
3065
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3867
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1190
9.17 IPS |
|
|
Depth Estimation (Q)
|
78% |
2886
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6008
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
5688
7.31 IPS |
|
|
Style Transfer (Q)
|
87% |
6177
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1235
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
384
512.0 IPS |
|
|
Text Classification (Q)
|
97% |
342
457.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
406
7.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1409
27.2 IPS |
