iMacPro1,1
Geekbench AI Score
1785
Single Precision Score
189
Half Precision Score
143
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | guliano |
| Upload Date | December 22 2025 04:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-13700K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Micro-Star International Co., Ltd. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 8 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 5200 MT/s |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
942
175.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
5760
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
1896
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (HP)
|
100% |
1493
17.7 IPS |
|
|
Face Detection (Q)
|
100% |
566
6.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
2811
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2514
19.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1370
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7362
9.46 IPS |
|
|
Style Transfer (HP)
|
100% |
7289
9.37 IPS |
|
|
Style Transfer (Q)
|
96% |
5060
6.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
662
883.8 IPS |
|
|
Text Classification (HP)
|
100% |
644
859.1 IPS |
|
|
Text Classification (Q)
|
93% |
641
860.8 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1060
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1055
18.2 IPS |
