Apple Inc. iMac14,2
Geekbench AI Score
2088
Single Precision Score
2077
Half Precision Score
2310
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | archiblender |
| Upload Date | February 17 2025 02:52 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-4771 CPU @ 3.50GHz |
| 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% |
1279
237.8 IPS |
|
|
Image Classification (HP)
|
100% |
1275
237.1 IPS |
|
|
Image Classification (Q)
|
100% |
1436
267.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1199
19.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1194
19.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1559
25.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2742
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2738
3.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
3145
3.69 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (Q)
|
87% |
1417
113.7 IPS |
|
|
Face Detection (SP)
|
100% |
2326
27.6 IPS |
|
|
Face Detection (HP)
|
100% |
2319
27.5 IPS |
|
|
Face Detection (Q)
|
97% |
3952
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3406
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3369
26.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3767
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7886
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7891
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8958
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1564
57.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1544
57.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1878
69.6 IPS |
|
|
Text Classification (SP)
|
100% |
1657
2.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
992
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1872
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1751
30.2 IPS |
