iMac Pro (Late 2017)
Geekbench AI Score
956
Single Precision Score
116
Half Precision Score
91
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | May 21 2025 04:41 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
404
75.2 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3135
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1012
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
873
1.02 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
909
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
699
8.30 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
1396
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1221
9.41 IPS |
|
|
Depth Estimation (Q)
|
85% |
724
5.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3710
4.77 IPS |
|
|
Style Transfer (HP)
|
100% |
3667
4.71 IPS |
|
|
Style Transfer (Q)
|
96% |
2635
3.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1437
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
384
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.5 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.9 IPS |
|
|
Text Classification (Q)
|
93% |
391
525.4 IPS |
|
|
Machine Translation (SP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.29 IPS |
|
|
Machine Translation (Q)
|
98% |
530
9.16 IPS |
