iMacPro1,1
Geekbench AI Score
1006
Single Precision Score
690
Half Precision Score
468
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 06 2026 08:35 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-10400 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| Model | iMacPro1,1 |
| Model ID | iMacPro1,1 |
| Motherboard | Acidanthera Mac-7BA5B2D9E42DDD94 iMacPro1,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
458
85.3 IPS |
|
|
Image Classification (HP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (Q)
|
96% |
181
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
515
8.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (Q)
|
99% |
282
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
830
0.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
739
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
470
37.3 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
92% |
213
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
1087
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
876
10.4 IPS |
|
|
Face Detection (Q)
|
100% |
343
4.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1363
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1120
8.63 IPS |
|
|
Depth Estimation (Q)
|
85% |
699
5.46 IPS |
|
|
Style Transfer (SP)
|
100% |
3797
4.88 IPS |
|
|
Style Transfer (HP)
|
100% |
3015
3.88 IPS |
|
|
Style Transfer (Q)
|
96% |
2319
2.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
635
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
383
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
450
600.2 IPS |
|
|
Text Classification (HP)
|
100% |
452
603.7 IPS |
|
|
Text Classification (Q)
|
93% |
450
603.9 IPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
662
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
658
11.4 IPS |
