Apple Inc. iMac18,3
Geekbench AI Score
1011
Single Precision Score
1012
Half Precision Score
631
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | Bogusoft |
| Upload Date | January 20 2026 04:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.2 |
| Model | Apple Inc. iMac18,3 |
| Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
737
137.0 IPS |
|
|
Image Classification (HP)
|
100% |
747
138.9 IPS |
|
|
Image Classification (Q)
|
99% |
403
75.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
464
7.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
1193
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1177
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1085
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (HP)
|
100% |
751
59.6 IPS |
|
|
Object Detection (Q)
|
85% |
445
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1183
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1186
14.1 IPS |
|
|
Face Detection (Q)
|
97% |
936
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1197
9.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
1194
9.20 IPS |
|
|
Depth Estimation (Q)
|
63% |
875
8.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1539
1.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1542
1.98 IPS |
|
|
Style Transfer (Q)
|
98% |
2255
2.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
680
25.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
625
23.2 IPS |
|
|
Text Classification (SP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
1113
1.49 KIPS |
|
|
Text Classification (Q)
|
92% |
339
454.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
58% |
287
6.74 IPS |
