System manufacturer System Product Name
Geekbench AI Score
2008
Single Precision Score
944
Half Precision Score
3212
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aektann |
| Upload Date | November 02 2025 11:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700K |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z370-A |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1515
281.8 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
536
8.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
3091
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
6382
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
100% |
425
33.7 IPS |
|
|
Object Detection (Q)
|
58% |
1812
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
4724
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3850
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
6022
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7882
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5968
7.67 IPS |
|
|
Style Transfer (Q)
|
87% |
9915
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2594
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
606
809.4 IPS |
|
|
Text Classification (Q)
|
97% |
972
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
559
9.63 IPS |
|
|
Machine Translation (Q)
|
68% |
1842
35.6 IPS |
