System manufacturer System Product Name
Geekbench AI Score
353
Single Precision Score
294
Half Precision Score
541
Quantized Score
Geekbench AI 1.6.0 Corporate for Windows x86 (64-bit)
Result Information
| User | Remarc |
| Upload Date | January 22 2026 10:46 AM |
| Views | 9 |
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 | 4.90 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (HP)
|
100% |
148
27.5 IPS |
|
|
Image Classification (Q)
|
96% |
417
77.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
98
1.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
374
6.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
467
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
800
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
58% |
289
31.6 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.68 IPS |
|
|
Face Detection (Q)
|
96% |
840
10.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
630
4.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
445
3.43 IPS |
|
|
Depth Estimation (Q)
|
78% |
851
6.78 IPS |
|
|
Style Transfer (SP)
|
100% |
1360
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1268
1.63 IPS |
|
|
Style Transfer (Q)
|
87% |
1666
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.04 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
243
8.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
450
16.7 IPS |
|
|
Text Classification (SP)
|
100% |
310
414.2 IPS |
|
|
Text Classification (HP)
|
100% |
203
270.4 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.5 IPS |
|
|
Machine Translation (SP)
|
100% |
446
7.68 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
68% |
549
10.6 IPS |
