iMac Pro (Late 2017)
Geekbench AI Score
4737
Single Precision Score
4981
Half Precision Score
1219
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | December 16 2025 11:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | iMac Pro (Late 2017) |
| Model ID | iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2191B |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3372
627.1 IPS |
|
|
Image Classification (HP)
|
100% |
3528
656.1 IPS |
|
|
Image Classification (Q)
|
96% |
101
18.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
467
7.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
232
3.76 IPS |
|
|
Pose Estimation (SP)
|
100% |
35800
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33447
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
2846
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.2 IPS |
|
|
Object Detection (HP)
|
100% |
3234
256.5 IPS |
|
|
Object Detection (Q)
|
92% |
112
8.96 IPS |
|
|
Face Detection (SP)
|
100% |
10346
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
13103
155.7 IPS |
|
|
Face Detection (Q)
|
100% |
245
2.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
15186
117.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15443
119.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
14159
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
65725
84.5 IPS |
|
|
Style Transfer (HP)
|
100% |
68687
88.3 IPS |
|
|
Style Transfer (Q)
|
96% |
86879
112.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9148
337.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8165
301.5 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.1 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.8 IPS |
|
|
Text Classification (Q)
|
93% |
396
531.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
996
17.2 IPS |
