iMac Pro (Late 2017)
Geekbench AI Score
4624
Single Precision Score
4778
Half Precision Score
1174
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mezorn26 |
| Upload Date | February 21 2025 08:31 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
3378
628.2 IPS |
|
|
Image Classification (HP)
|
100% |
3506
652.1 IPS |
|
|
Image Classification (Q)
|
96% |
107
20.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
35702
41.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33580
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2869
3.36 IPS |
|
|
Object Detection (SP)
|
100% |
3207
254.4 IPS |
|
|
Object Detection (HP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (Q)
|
92% |
93
7.45 IPS |
|
|
Face Detection (SP)
|
100% |
8781
104.3 IPS |
|
|
Face Detection (HP)
|
100% |
9855
117.1 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
15215
117.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
15288
117.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
14214
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65774
84.6 IPS |
|
|
Style Transfer (HP)
|
100% |
69094
88.8 IPS |
|
|
Style Transfer (Q)
|
96% |
86819
112.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7475
276.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9186
339.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8214
303.3 IPS |
|
|
Text Classification (SP)
|
100% |
424
566.0 IPS |
|
|
Text Classification (HP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (Q)
|
93% |
409
549.3 IPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
831
14.3 IPS |
|
|
Machine Translation (Q)
|
98% |
824
14.2 IPS |
