iMac Pro (Late 2017)
Geekbench AI Score
936
Single Precision Score
112
Half Precision Score
89
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | Dachaz |
| Upload Date | August 27 2025 11:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| 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% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
486
7.87 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3097
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
944
1.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
806
0.94 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
914
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
693
8.23 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1376
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1187
9.14 IPS |
|
|
Depth Estimation (Q)
|
85% |
706
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
3335
4.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3313
4.26 IPS |
|
|
Style Transfer (Q)
|
96% |
2448
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1425
52.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
615
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
369
13.6 IPS |
|
|
Text Classification (SP)
|
100% |
737
983.4 IPS |
|
|
Text Classification (HP)
|
100% |
398
530.8 IPS |
|
|
Text Classification (Q)
|
93% |
393
526.9 IPS |
|
|
Machine Translation (SP)
|
100% |
447
7.70 IPS |
|
|
Machine Translation (HP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (Q)
|
98% |
529
9.14 IPS |
