System manufacturer System Product Name
Geekbench AI Score
892
Single Precision Score
522
Half Precision Score
1134
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | FotonPC |
| Upload Date | June 14 2025 03:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon X5675 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| CPU Information | |
|---|---|
| Name | Intel Xeon X5675 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 44 Stepping 2 |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
177
32.9 IPS |
|
|
Image Classification (Q)
|
96% |
793
148.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
315
5.10 IPS |
|
|
Image Segmentation (Q)
|
97% |
757
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1194
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1134
1.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
1953
2.31 IPS |
|
|
Object Detection (SP)
|
100% |
601
47.7 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.9 IPS |
|
|
Object Detection (Q)
|
58% |
662
72.3 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
650
7.73 IPS |
|
|
Face Detection (Q)
|
96% |
2068
24.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
790
6.09 IPS |
|
|
Depth Estimation (Q)
|
78% |
2029
16.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3111
4.00 IPS |
|
|
Style Transfer (HP)
|
100% |
3109
4.00 IPS |
|
|
Style Transfer (Q)
|
87% |
3946
5.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
643
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
845
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.7 IPS |
|
|
Text Classification (HP)
|
100% |
288
384.8 IPS |
|
|
Text Classification (Q)
|
97% |
325
435.5 IPS |
|
|
Machine Translation (SP)
|
100% |
800
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (Q)
|
68% |
1004
19.4 IPS |
