iMac Pro (Late 2017)
Geekbench AI Score
4398
Single Precision Score
4546
Half Precision Score
1224
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | kgestring |
| Upload Date | December 13 2025 09:04 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega 56 |
| 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% |
3090
574.7 IPS |
|
|
Image Classification (HP)
|
100% |
3227
600.1 IPS |
|
|
Image Classification (Q)
|
96% |
132
24.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
448
7.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
30695
35.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
28537
33.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2642
3.10 IPS |
|
|
Object Detection (SP)
|
100% |
2934
232.7 IPS |
|
|
Object Detection (HP)
|
100% |
3042
241.3 IPS |
|
|
Object Detection (Q)
|
92% |
167
13.3 IPS |
|
|
Face Detection (SP)
|
100% |
12227
145.3 IPS |
|
|
Face Detection (HP)
|
100% |
13291
157.9 IPS |
|
|
Face Detection (Q)
|
100% |
252
2.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
13910
107.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
14060
108.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13019
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58222
74.8 IPS |
|
|
Style Transfer (HP)
|
100% |
58748
75.5 IPS |
|
|
Style Transfer (Q)
|
96% |
75654
97.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6588
243.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8465
312.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7612
281.1 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.6 IPS |
|
|
Text Classification (HP)
|
100% |
376
502.2 IPS |
|
|
Text Classification (Q)
|
93% |
353
473.5 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
861
14.8 IPS |
|
|
Machine Translation (Q)
|
98% |
865
14.9 IPS |
