iMac Pro (Late 2017)
Geekbench AI Score
4485
Single Precision Score
4644
Half Precision Score
1144
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | whplein |
| Upload Date | December 09 2025 07:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 64 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
3360
624.9 IPS |
|
|
Image Classification (HP)
|
100% |
3490
649.0 IPS |
|
|
Image Classification (Q)
|
96% |
102
19.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
35840
41.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33595
39.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2643
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
3154
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
3253
258.0 IPS |
|
|
Object Detection (Q)
|
92% |
83
6.61 IPS |
|
|
Face Detection (SP)
|
100% |
7527
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
7962
94.6 IPS |
|
|
Face Detection (Q)
|
100% |
214
2.55 IPS |
|
|
Depth Estimation (SP)
|
100% |
15113
116.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15301
117.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
14108
110.3 IPS |
|
|
Style Transfer (SP)
|
100% |
65677
84.4 IPS |
|
|
Style Transfer (HP)
|
100% |
68700
88.3 IPS |
|
|
Style Transfer (Q)
|
96% |
86653
111.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9115
336.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8140
300.6 IPS |
|
|
Text Classification (SP)
|
100% |
408
544.6 IPS |
|
|
Text Classification (HP)
|
100% |
418
557.7 IPS |
|
|
Text Classification (Q)
|
93% |
398
534.4 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
920
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
914
15.8 IPS |
