iMac Pro (Late 2017)
Geekbench AI Score
1055
Single Precision Score
128
Half Precision Score
97
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | December 16 2025 10:48 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2191B |
| 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-2191B |
| Topology | 1 Processor, 18 Cores, 36 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
576
9.34 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3438
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1131
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1094
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
765
9.09 IPS |
|
|
Face Detection (Q)
|
100% |
329
3.90 IPS |
|
|
Depth Estimation (SP)
|
100% |
1633
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1385
10.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
773
6.04 IPS |
|
|
Style Transfer (SP)
|
100% |
5354
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4807
6.18 IPS |
|
|
Style Transfer (Q)
|
96% |
3212
4.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1217
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
387
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
749
999.4 IPS |
|
|
Text Classification (HP)
|
100% |
412
550.4 IPS |
|
|
Text Classification (Q)
|
93% |
411
552.2 IPS |
|
|
Machine Translation (SP)
|
100% |
458
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.40 IPS |
|
|
Machine Translation (Q)
|
98% |
541
9.35 IPS |
