iMac Pro (Late 2017)
Geekbench AI Score
915
Single Precision Score
115
Half Precision Score
90
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mezorn26 |
| Upload Date | April 06 2025 05:19 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2150B |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | iMac Pro (Late 2017) |
| Model ID | iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2150B |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2640
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
980
1.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
831
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.6 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
883
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
704
8.36 IPS |
|
|
Face Detection (Q)
|
100% |
314
3.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
1402
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
85% |
718
5.61 IPS |
|
|
Style Transfer (SP)
|
100% |
3735
4.80 IPS |
|
|
Style Transfer (HP)
|
100% |
3738
4.81 IPS |
|
|
Style Transfer (Q)
|
96% |
2713
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
643
23.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
370
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
710
947.8 IPS |
|
|
Text Classification (HP)
|
100% |
404
539.8 IPS |
|
|
Text Classification (Q)
|
93% |
407
546.1 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.26 IPS |
|
|
Machine Translation (HP)
|
100% |
489
8.42 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
