Acidanthera MacPro7,1
Geekbench AI Score
16035
Single Precision Score
16993
Half Precision Score
13111
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Misty_19 |
| Upload Date | July 29 2025 03:39 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro W6900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Acidanthera MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6056
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6025
1.12 KIPS |
|
|
Image Classification (Q)
|
99% |
5105
952.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7779
126.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6851
111.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7019
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
143411
167.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
203348
237.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
121820
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
6879
545.7 IPS |
|
|
Object Detection (HP)
|
100% |
6812
540.3 IPS |
|
|
Object Detection (Q)
|
87% |
6218
499.4 IPS |
|
|
Face Detection (SP)
|
100% |
18566
220.6 IPS |
|
|
Face Detection (HP)
|
100% |
19284
229.1 IPS |
|
|
Face Detection (Q)
|
97% |
16204
193.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
47563
366.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
49778
383.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
37915
304.5 IPS |
|
|
Style Transfer (SP)
|
100% |
222966
286.6 IPS |
|
|
Style Transfer (HP)
|
100% |
286257
368.0 IPS |
|
|
Style Transfer (Q)
|
98% |
187334
241.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26566
980.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29652
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21144
783.0 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1666
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2060
35.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1903
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1365
25.6 IPS |
