System manufacturer System Product Name
Geekbench AI Score
663
Single Precision Score
433
Half Precision Score
878
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | W4RHE4D |
| Upload Date | November 27 2025 12:10 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-930 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK Computer INC. Rampage III Extreme |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-930 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 26 Stepping 5 |
| Base Frequency | 4.13 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.2 IPS |
|
|
Image Classification (Q)
|
96% |
655
122.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
720
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
789
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
746
0.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
1268
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
401
31.8 IPS |
|
|
Object Detection (HP)
|
100% |
230
18.3 IPS |
|
|
Object Detection (Q)
|
58% |
469
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
541
6.43 IPS |
|
|
Face Detection (Q)
|
96% |
1462
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1097
8.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
644
4.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
1432
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2056
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
2059
2.65 IPS |
|
|
Style Transfer (Q)
|
87% |
2663
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
441
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
430
15.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
734
27.2 IPS |
|
|
Text Classification (SP)
|
100% |
483
644.7 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.7 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.3 IPS |
|
|
Machine Translation (SP)
|
100% |
634
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
68% |
819
15.8 IPS |
