iMac Pro (Late 2017)
Geekbench AI Score
4610
Single Precision Score
4759
Half Precision Score
1161
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | Dachaz |
| Upload Date | August 27 2025 12:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | iMac Pro (Late 2017) |
| Model ID | iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2140B |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3293
612.5 IPS |
|
|
Image Classification (HP)
|
100% |
3445
640.6 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
204
3.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
35063
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33679
39.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2597
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (HP)
|
100% |
3242
257.1 IPS |
|
|
Object Detection (Q)
|
92% |
101
8.05 IPS |
|
|
Face Detection (SP)
|
100% |
11085
131.7 IPS |
|
|
Face Detection (HP)
|
100% |
11057
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
225
2.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
15136
116.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15407
118.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14211
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
65473
84.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68881
88.5 IPS |
|
|
Style Transfer (Q)
|
96% |
87051
112.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6836
252.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9101
336.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8140
300.6 IPS |
|
|
Text Classification (SP)
|
100% |
409
545.9 IPS |
|
|
Text Classification (HP)
|
100% |
419
559.0 IPS |
|
|
Text Classification (Q)
|
93% |
397
533.0 IPS |
|
|
Machine Translation (SP)
|
100% |
967
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
98% |
911
15.7 IPS |
