iMac Pro (Late 2017)
Geekbench AI Score
4348
Single Precision Score
4605
Half Precision Score
1053
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mezorn26 |
| Upload Date | December 08 2024 09:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
3221
599.0 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
83
15.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.28 IPS |
|
|
Image Segmentation (Q)
|
99% |
182
2.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
35525
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33643
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2574
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
3195
253.4 IPS |
|
|
Object Detection (HP)
|
100% |
3208
254.4 IPS |
|
|
Object Detection (Q)
|
92% |
73
5.79 IPS |
|
|
Face Detection (SP)
|
100% |
7164
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
9462
112.4 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
14982
115.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15218
117.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
13928
108.9 IPS |
|
|
Style Transfer (SP)
|
100% |
65292
83.9 IPS |
|
|
Style Transfer (HP)
|
100% |
68846
88.5 IPS |
|
|
Style Transfer (Q)
|
96% |
87116
112.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6578
242.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8953
330.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7791
287.7 IPS |
|
|
Text Classification (SP)
|
100% |
380
507.2 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.2 IPS |
|
|
Text Classification (Q)
|
93% |
365
489.4 IPS |
|
|
Machine Translation (SP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
763
13.2 IPS |
