System manufacturer System Product Name
Geekbench AI Score
890
Single Precision Score
1038
Half Precision Score
696
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | August 17 2024 09:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B250M-C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
100% |
347
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
557
9.03 IPS |
|
|
Image Segmentation (HP)
|
100% |
669
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
467
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
3550
4.14 IPS |
|
|
Pose Estimation (Q)
|
97% |
2017
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
433
34.3 IPS |
|
|
Object Detection (HP)
|
98% |
446
35.5 IPS |
|
|
Object Detection (Q)
|
89% |
392
31.4 IPS |
|
|
Face Detection (SP)
|
100% |
755
8.98 IPS |
|
|
Face Detection (HP)
|
100% |
895
10.6 IPS |
|
|
Face Detection (Q)
|
97% |
611
7.28 IPS |
|
|
Depth Estimation (SP)
|
100% |
1594
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1976
15.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
1348
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5701
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
8633
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
4799
6.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1146
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
867
32.1 IPS |
|
|
Text Classification (SP)
|
100% |
466
621.3 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (Q)
|
97% |
279
374.1 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
60% |
219
4.87 IPS |
