iMacPro1,1
Geekbench AI Score
1418
Single Precision Score
1125
Half Precision Score
729
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | erdomust |
| Upload Date | March 14 2025 07:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-13500 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | ASUSTeK COMPUTER INC. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 6 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.4 IPS |
|
|
Image Classification (Q)
|
96% |
265
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
900
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
433
7.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
4039
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1530
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
828
65.7 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.6 IPS |
|
|
Object Detection (Q)
|
92% |
326
26.0 IPS |
|
|
Face Detection (SP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
100% |
493
5.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
2242
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2058
15.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1158
9.05 IPS |
|
|
Style Transfer (SP)
|
100% |
5715
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5863
7.54 IPS |
|
|
Style Transfer (Q)
|
96% |
4261
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1097
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
600
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.5 IPS |
|
|
Text Classification (HP)
|
100% |
584
779.0 IPS |
|
|
Text Classification (Q)
|
93% |
580
778.9 IPS |
|
|
Machine Translation (SP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (HP)
|
100% |
884
15.2 IPS |
|
|
Machine Translation (Q)
|
98% |
876
15.1 IPS |
