System manufacturer System Product Name
Geekbench AI Score
630
Single Precision Score
382
Half Precision Score
681
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | dirk_zhenghui |
| Upload Date | October 23 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3770S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. P8Z77-M PRO |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
96% |
507
94.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
347
5.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
249
4.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
552
8.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
915
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
392
31.1 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (Q)
|
58% |
353
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (Q)
|
96% |
1139
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1001
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
551
4.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
1185
9.43 IPS |
|
|
Style Transfer (SP)
|
100% |
2067
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
1784
2.29 IPS |
|
|
Style Transfer (Q)
|
87% |
2336
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
437
16.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
383
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
407
543.8 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.7 IPS |
|
|
Text Classification (Q)
|
97% |
215
288.2 IPS |
|
|
Machine Translation (SP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.52 IPS |
|
|
Machine Translation (Q)
|
68% |
659
12.7 IPS |
