iMacPro1,1
Geekbench AI Score
1689
Single Precision Score
1317
Half Precision Score
883
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | baratta930 |
| Upload Date | March 01 2025 02:44 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 8 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.18 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
956
177.7 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
96% |
312
58.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (Q)
|
99% |
469
7.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
5899
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
3767
4.40 IPS |
|
|
Pose Estimation (Q)
|
96% |
2823
3.31 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (Q)
|
92% |
374
29.9 IPS |
|
|
Face Detection (SP)
|
100% |
1745
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (Q)
|
100% |
575
6.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
2278
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1768
13.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
1154
9.01 IPS |
|
|
Style Transfer (SP)
|
100% |
7620
9.80 IPS |
|
|
Style Transfer (HP)
|
100% |
8765
11.3 IPS |
|
|
Style Transfer (Q)
|
96% |
5712
7.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2583
95.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1062
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
651
24.1 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.3 IPS |
|
|
Text Classification (HP)
|
100% |
644
858.9 IPS |
|
|
Text Classification (Q)
|
93% |
653
876.9 IPS |
|
|
Machine Translation (SP)
|
100% |
665
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1169
20.2 IPS |
