MacPro7,1
Geekbench AI Score
1618
Single Precision Score
175
Half Precision Score
136
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | January 06 2026 06:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-14600K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
846
157.3 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
4883
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (Q)
|
96% |
1670
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (Q)
|
100% |
545
6.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
2498
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2208
17.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1274
9.97 IPS |
|
|
Style Transfer (SP)
|
100% |
6512
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
6030
7.75 IPS |
|
|
Style Transfer (Q)
|
96% |
4350
5.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2894
106.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1205
44.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
665
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
694
926.8 IPS |
|
|
Text Classification (HP)
|
100% |
672
896.4 IPS |
|
|
Text Classification (Q)
|
93% |
677
908.5 IPS |
|
|
Machine Translation (SP)
|
100% |
593
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
998
17.2 IPS |
