iMac Pro (Late 2017)
Geekbench AI Score
4529
Single Precision Score
4669
Half Precision Score
1188
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mezorn26 |
| Upload Date | April 06 2025 05:35 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| 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% |
3289
611.7 IPS |
|
|
Image Classification (HP)
|
100% |
3456
642.7 IPS |
|
|
Image Classification (Q)
|
96% |
116
21.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
201
3.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
33836
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
31560
36.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2846
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
3146
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3230
256.2 IPS |
|
|
Object Detection (Q)
|
92% |
105
8.38 IPS |
|
|
Face Detection (SP)
|
100% |
9126
108.4 IPS |
|
|
Face Detection (HP)
|
100% |
8204
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
230
2.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
15101
116.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15247
117.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
14134
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
65643
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
68944
88.6 IPS |
|
|
Style Transfer (Q)
|
96% |
86718
111.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6597
243.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9142
337.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7846
289.7 IPS |
|
|
Text Classification (SP)
|
100% |
397
530.0 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (Q)
|
93% |
396
531.0 IPS |
|
|
Machine Translation (SP)
|
100% |
951
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
931
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
921
15.9 IPS |
