iMac Pro (Late 2017)
Geekbench AI Score
967
Single Precision Score
116
Half Precision Score
92
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | kgestring |
| Upload Date | December 13 2025 08:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
403
74.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3211
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1029
1.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
884
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
706
8.38 IPS |
|
|
Face Detection (Q)
|
100% |
316
3.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1227
9.46 IPS |
|
|
Depth Estimation (Q)
|
85% |
731
5.72 IPS |
|
|
Style Transfer (SP)
|
100% |
3804
4.89 IPS |
|
|
Style Transfer (HP)
|
100% |
3709
4.77 IPS |
|
|
Style Transfer (Q)
|
96% |
2652
3.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1458
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
385
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
394
525.5 IPS |
|
|
Text Classification (Q)
|
93% |
394
529.1 IPS |
|
|
Machine Translation (SP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
98% |
542
9.36 IPS |
