MacPro7,1
Geekbench AI Score
1719
Single Precision Score
180
Half Precision Score
139
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | alexboro3191 |
| Upload Date | May 16 2025 01:50 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-14600KF |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600KF |
| Topology | 1 Processor, 6 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
946
175.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
5186
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1633
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1901
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (Q)
|
100% |
560
6.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
2651
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2452
18.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1386
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6666
8.57 IPS |
|
|
Style Transfer (HP)
|
100% |
5759
7.40 IPS |
|
|
Style Transfer (Q)
|
96% |
4284
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2879
106.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1317
48.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
708
944.5 IPS |
|
|
Text Classification (HP)
|
100% |
687
916.6 IPS |
|
|
Text Classification (Q)
|
93% |
684
917.6 IPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1047
18.1 IPS |
