Apple Inc. iMac18,1
Geekbench AI Score
728
Single Precision Score
728
Half Precision Score
388
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | Bogusoft |
| Upload Date | January 10 2026 03:19 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7360U |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Apple Inc. iMac18,1 |
| Motherboard | Apple Inc. Mac-4B682C642B45593E |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7360U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.62 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
462
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
462
85.9 IPS |
|
|
Image Classification (Q)
|
99% |
239
44.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
580
9.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
575
9.32 IPS |
|
|
Image Segmentation (Q)
|
98% |
284
4.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
749
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
750
0.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
569
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
468
37.1 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
85% |
251
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
1025
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1020
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
569
6.78 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
916
7.06 IPS |
|
|
Depth Estimation (Q)
|
63% |
519
4.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1214
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1206
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1297
1.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
518
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
347
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
693
924.8 IPS |
|
|
Text Classification (HP)
|
100% |
696
929.5 IPS |
|
|
Text Classification (Q)
|
92% |
256
343.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (Q)
|
58% |
239
5.62 IPS |
