iMac Pro (Late 2017)
Geekbench ML Score
512
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | January 17 2025 12:04 AM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.7.2 (Build 22H313) |
| 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 |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 11.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
290
54.2 IPS |
|
|
Image Classification (F16)
|
100% |
178
33.2 IPS |
|
|
Image Classification (I8)
|
99% |
178
33.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
249
4.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (I8)
|
100% |
239
3.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
2268
2.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
2395
2.90 IPS |
|
|
Pose Estimation (I8)
|
100% |
2485
3.01 IPS |
|
|
Object Detection (F32)
|
100% |
181
13.5 IPS |
|
|
Object Detection (F16)
|
100% |
151
11.3 IPS |
|
|
Object Detection (I8)
|
97% |
285
21.3 IPS |
|
|
Face Detection (F32)
|
100% |
630
7.49 IPS |
|
|
Face Detection (F16)
|
100% |
577
6.86 IPS |
|
|
Face Detection (I8)
|
99% |
593
7.05 IPS |
|
|
Depth Estimation (F32)
|
100% |
566
4.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
507
3.93 IPS |
|
|
Depth Estimation (I8)
|
99% |
705
5.46 IPS |
|
|
Style Transfer (F32)
|
100% |
3619
4.76 IPS |
|
|
Style Transfer (F16)
|
100% |
3497
4.60 IPS |
|
|
Style Transfer (I8)
|
100% |
3461
4.55 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
851
30.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
845
30.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
767
27.4 IPS |
|
|
Text Classification (F32)
|
100% |
186
266.9 IPS |
|
|
Text Classification (F16)
|
100% |
97
139.4 IPS |
|
|
Text Classification (I8)
|
96% |
92
132.3 IPS |
|
|
Machine Translation (F32)
|
100% |
499
9.19 IPS |
|
|
Machine Translation (F16)
|
100% |
333
6.12 IPS |
|
|
Machine Translation (I8)
|
99% |
494
9.09 IPS |
