Generic
Geekbench AI Score
6626
Single Precision Score
8695
Half Precision Score
8479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 01 2025 11:38 PM |
| Views | 3 |
| Notes | Arc A770 with pro driver A60 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) A770 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Generic |
| Motherboard | ASRock H510 Pro BTC+ |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2833
526.8 IPS |
|
|
Image Classification (HP)
|
100% |
3478
646.8 IPS |
|
|
Image Classification (Q)
|
100% |
2992
556.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2641
42.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2774
45.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
59714
69.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118011
137.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
138776
162.5 IPS |
|
|
Object Detection (SP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
3324
263.7 IPS |
|
|
Object Detection (Q)
|
88% |
3220
258.0 IPS |
|
|
Face Detection (SP)
|
100% |
6212
73.8 IPS |
|
|
Face Detection (HP)
|
100% |
7508
89.2 IPS |
|
|
Face Detection (Q)
|
100% |
7480
88.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18817
145.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34785
268.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
35067
272.6 IPS |
|
|
Style Transfer (SP)
|
100% |
127330
163.7 IPS |
|
|
Style Transfer (HP)
|
100% |
173106
222.5 IPS |
|
|
Style Transfer (Q)
|
98% |
193809
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12451
459.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16014
591.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15086
558.7 IPS |
|
|
Text Classification (SP)
|
100% |
1466
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1038
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
100% |
652
11.2 IPS |
