Apple Inc. iMac14,2
Geekbench AI Score
1485
Single Precision Score
762
Half Precision Score
1482
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | archiblender |
| Upload Date | February 17 2025 02:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4771 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMac14,2 |
| Motherboard | Apple Inc. Mac-27ADBB7B4CEE8E61 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4771 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1196
222.5 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
96% |
1298
242.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
449
7.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
872
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2039
2.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
2819
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
1121
88.9 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
58% |
868
94.9 IPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
96% |
2818
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2831
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1134
8.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
3067
24.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5595
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
4687
6.03 IPS |
|
|
Style Transfer (Q)
|
87% |
5462
7.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1058
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
429
572.7 IPS |
|
|
Text Classification (Q)
|
97% |
345
461.7 IPS |
|
|
Machine Translation (SP)
|
100% |
900
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.68 IPS |
|
|
Machine Translation (Q)
|
68% |
1071
20.7 IPS |
