Apple Inc. iMac18,3
Geekbench AI Score
1194
Single Precision Score
1193
Half Precision Score
766
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Bogusoft |
| Upload Date | November 10 2025 05:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700K |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Apple Inc. iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700K |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.65 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
942
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
950
176.7 IPS |
|
|
Image Classification (Q)
|
99% |
497
92.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
985
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
564
9.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
1367
1.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1341
1.56 IPS |
|
|
Pose Estimation (Q)
|
96% |
1319
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
920
73.0 IPS |
|
|
Object Detection (HP)
|
100% |
923
73.2 IPS |
|
|
Object Detection (Q)
|
85% |
546
43.9 IPS |
|
|
Face Detection (SP)
|
100% |
1359
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
1349
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1138
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1385
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1369
10.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1067
10.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1685
2.17 IPS |
|
|
Style Transfer (HP)
|
100% |
1697
2.18 IPS |
|
|
Style Transfer (Q)
|
98% |
2671
3.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
834
30.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
831
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
762
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1360
1.81 KIPS |
|
|
Text Classification (Q)
|
92% |
415
557.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1413
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
58% |
340
7.98 IPS |
