iMac Pro (Late 2017)
Geekbench AI Score
942
Single Precision Score
114
Half Precision Score
90
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | jmvioque |
| Upload Date | November 26 2025 10:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| 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 | 32.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
401
74.6 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% |
3105
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
998
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
865
1.01 IPS |
|
|
Object Detection (SP)
|
100% |
448
35.5 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
913
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
694
8.25 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1402
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1180
9.09 IPS |
|
|
Depth Estimation (Q)
|
85% |
708
5.54 IPS |
|
|
Style Transfer (SP)
|
100% |
3592
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3585
4.61 IPS |
|
|
Style Transfer (Q)
|
96% |
2582
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
378
13.9 IPS |
|
|
Text Classification (SP)
|
100% |
713
952.2 IPS |
|
|
Text Classification (HP)
|
100% |
391
522.4 IPS |
|
|
Text Classification (Q)
|
93% |
388
521.3 IPS |
|
|
Machine Translation (SP)
|
100% |
442
7.61 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.64 IPS |
