System manufacturer System Product Name
Geekbench AI Score
463
Single Precision Score
358
Half Precision Score
628
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | firedfly |
| Upload Date | June 23 2025 05:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-6098P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VIII FORMULA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6098P |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.8 IPS |
|
|
Image Classification (HP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (Q)
|
96% |
410
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
252
4.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
404
6.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
825
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
268
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
196
15.5 IPS |
|
|
Object Detection (Q)
|
58% |
285
31.1 IPS |
|
|
Face Detection (SP)
|
100% |
905
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
546
6.49 IPS |
|
|
Face Detection (Q)
|
96% |
1056
12.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
677
5.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
509
3.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
1014
8.09 IPS |
|
|
Style Transfer (SP)
|
100% |
1336
1.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1258
1.62 IPS |
|
|
Style Transfer (Q)
|
87% |
2249
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
331
441.5 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.4 IPS |
|
|
Text Classification (Q)
|
97% |
288
385.2 IPS |
|
|
Machine Translation (SP)
|
100% |
609
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
68% |
757
14.6 IPS |
