Apple Inc. iMacPro1,1
Geekbench AI Score
3007
Single Precision Score
1053
Half Precision Score
3469
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 03:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education N (64-bit) |
| Model | Apple Inc. iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 |
| Power Plan | Ausbalanciert |
| 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 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2800
520.8 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
96% |
3894
727.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
2883
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
4044
4.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
10649
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
2036
161.5 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
58% |
2221
242.7 IPS |
|
|
Face Detection (SP)
|
100% |
5255
62.4 IPS |
|
|
Face Detection (HP)
|
100% |
919
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
5820
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9520
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1494
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8404
67.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11904
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11372
14.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14324
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2368
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3091
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
537
716.8 IPS |
|
|
Text Classification (Q)
|
97% |
328
438.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
454
7.82 IPS |
|
|
Machine Translation (Q)
|
68% |
1340
25.9 IPS |
