System manufacturer System Product Name
Geekbench AI Score
619
Single Precision Score
333
Half Precision Score
637
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 28 2024 10:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3930K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. RAMPAGE IV EXTREME |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3930K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
96% |
484
90.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
296
4.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
213
3.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
330
5.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
901
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
767
0.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
1150
1.36 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
58% |
361
39.5 IPS |
|
|
Face Detection (SP)
|
100% |
1066
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
424
5.03 IPS |
|
|
Face Detection (Q)
|
96% |
1070
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1142
8.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
515
3.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
1242
9.89 IPS |
|
|
Style Transfer (SP)
|
100% |
2404
3.09 IPS |
|
|
Style Transfer (HP)
|
100% |
2088
2.68 IPS |
|
|
Style Transfer (Q)
|
87% |
2690
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
362
13.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
501
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
348
464.0 IPS |
|
|
Text Classification (HP)
|
100% |
147
196.6 IPS |
|
|
Text Classification (Q)
|
97% |
161
216.3 IPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
175
3.01 IPS |
|
|
Machine Translation (Q)
|
68% |
578
11.2 IPS |
