Apple Inc. iMacPro1,1
Geekbench AI Score
3723
Single Precision Score
1203
Half Precision Score
3761
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | kgestring |
| Upload Date | January 11 2026 10:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon W-2140B |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMacPro1,1 |
| Motherboard | Apple Inc. Mac-7BA5B2D9E42DDD94 |
| Power Plan | Balanced |
| 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% |
3177
590.9 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.9 IPS |
|
|
Image Classification (Q)
|
96% |
3821
713.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1158
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
3487
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9249
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
12789
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
455
36.1 IPS |
|
|
Object Detection (Q)
|
58% |
2330
254.6 IPS |
|
|
Face Detection (SP)
|
100% |
5483
65.1 IPS |
|
|
Face Detection (HP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
6383
76.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9957
76.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1489
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8923
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17982
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
11814
15.2 IPS |
|
|
Style Transfer (Q)
|
87% |
15383
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2041
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3372
124.9 IPS |
|
|
Text Classification (SP)
|
100% |
1172
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.9 IPS |
|
|
Text Classification (Q)
|
97% |
336
450.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1511
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
514
8.86 IPS |
|
|
Machine Translation (Q)
|
68% |
1438
27.8 IPS |
