Apple Inc. iMac14,2
Geekbench AI Score
1932
Single Precision Score
1908
Half Precision Score
2249
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | jakesalleskovacs |
| Upload Date | July 01 2025 09:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-4670 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Apple Inc. iMac14,2 |
| Motherboard | Apple Inc. Mac-27ADBB7B4CEE8E61 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4670 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 23.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1166
216.9 IPS |
|
|
Image Classification (HP)
|
100% |
1204
223.9 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1152
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1154
18.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1653
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2688
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2398
2.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
2972
3.49 IPS |
|
|
Object Detection (SP)
|
100% |
1115
88.4 IPS |
|
|
Object Detection (HP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (Q)
|
87% |
1437
115.2 IPS |
|
|
Face Detection (SP)
|
100% |
2183
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
2058
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
3970
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2830
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2982
23.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3758
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6532
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
6514
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
8629
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1401
51.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1843
68.3 IPS |
|
|
Text Classification (SP)
|
100% |
1630
2.18 KIPS |
|
|
Text Classification (HP)
|
100% |
1636
2.18 KIPS |
|
|
Text Classification (Q)
|
91% |
700
941.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1974
34.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1954
33.7 IPS |
