iMac Pro (Late 2017)
Geekbench AI Score
936
Single Precision Score
669
Half Precision Score
451
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | mezorn26 |
| Upload Date | December 08 2024 09:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-2150B |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | iMac Pro (Late 2017) |
| Model ID | iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-2150B |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
402
74.8 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.6 IPS |
|
|
Image Classification (Q)
|
96% |
163
30.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
390
6.32 IPS |
|
|
Image Segmentation (Q)
|
99% |
266
4.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
2896
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1034
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
888
1.04 IPS |
|
|
Object Detection (SP)
|
100% |
458
36.4 IPS |
|
|
Object Detection (HP)
|
100% |
348
27.6 IPS |
|
|
Object Detection (Q)
|
92% |
200
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (Q)
|
100% |
319
3.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
1381
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1267
9.76 IPS |
|
|
Depth Estimation (Q)
|
85% |
739
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
3598
4.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3763
4.84 IPS |
|
|
Style Transfer (Q)
|
96% |
2722
3.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
381
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
748
998.9 IPS |
|
|
Text Classification (HP)
|
100% |
386
515.5 IPS |
|
|
Text Classification (Q)
|
93% |
382
512.7 IPS |
|
|
Machine Translation (SP)
|
100% |
425
7.32 IPS |
|
|
Machine Translation (HP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (Q)
|
98% |
494
8.54 IPS |
