System manufacturer System Product Name
Geekbench AI Score
289
Single Precision Score
240
Half Precision Score
440
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | Remarc |
| Upload Date | January 21 2026 05:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A10-7860K |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. A88X-PRO |
| CPU Information | |
|---|---|
| Name | AMD A10-7860K |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 21 Model 56 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
96% |
334
62.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
84
1.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
304
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (Q)
|
86% |
639
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (Q)
|
58% |
232
25.4 IPS |
|
|
Face Detection (SP)
|
100% |
395
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
326
3.87 IPS |
|
|
Face Detection (Q)
|
96% |
688
8.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
505
3.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
692
5.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1082
1.39 IPS |
|
|
Style Transfer (HP)
|
100% |
1013
1.30 IPS |
|
|
Style Transfer (Q)
|
87% |
1367
1.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
199
7.33 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
367
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
223.6 IPS |
|
|
Text Classification (Q)
|
97% |
169
226.3 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
179
3.08 IPS |
|
|
Machine Translation (Q)
|
68% |
455
8.80 IPS |
