MacPro7,1
Geekbench AI Score
1917
Single Precision Score
1303
Half Precision Score
837
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | proshkin |
| Upload Date | October 28 2025 04:22 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| 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% |
949
176.5 IPS |
|
|
Image Classification (HP)
|
100% |
654
121.6 IPS |
|
|
Image Classification (Q)
|
96% |
326
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
470
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
5344
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
1899
2.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
1629
1.91 IPS |
|
|
Object Detection (SP)
|
100% |
988
78.4 IPS |
|
|
Object Detection (HP)
|
100% |
749
59.4 IPS |
|
|
Object Detection (Q)
|
92% |
383
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
1977
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1425
16.9 IPS |
|
|
Face Detection (Q)
|
100% |
560
6.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
2917
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2375
18.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1352
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7948
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5792
7.45 IPS |
|
|
Style Transfer (Q)
|
96% |
4332
5.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3203
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
721
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
698
932.2 IPS |
|
|
Text Classification (HP)
|
100% |
682
910.0 IPS |
|
|
Text Classification (Q)
|
93% |
677
908.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1105
19.1 IPS |
