iMac Pro (Late 2017)
Geekbench AI Score
932
Single Precision Score
114
Half Precision Score
90
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| Upload Date | July 31 2025 11:19 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 32.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
480
7.78 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3019
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
855
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
439
34.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
681
8.09 IPS |
|
|
Face Detection (Q)
|
100% |
307
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
1373
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1186
9.14 IPS |
|
|
Depth Estimation (Q)
|
85% |
715
5.59 IPS |
|
|
Style Transfer (SP)
|
100% |
3660
4.71 IPS |
|
|
Style Transfer (HP)
|
100% |
3622
4.66 IPS |
|
|
Style Transfer (Q)
|
96% |
2608
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1399
51.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
738
985.5 IPS |
|
|
Text Classification (HP)
|
100% |
391
521.2 IPS |
|
|
Text Classification (Q)
|
93% |
387
519.9 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
518
8.93 IPS |
|
|
Machine Translation (Q)
|
98% |
516
8.91 IPS |
