iMac (27-inch Late 2013)
Geekbench AI Score
486
Single Precision Score
364
Half Precision Score
265
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 22 2024 02:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | iMac (27-inch Late 2013) |
| Model ID | iMac14,2 |
| Motherboard | Apple Inc. Mac-27ADBB7B4CEE8E61 iMac14,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Transfer Rate | 1600 MT/s |
| Type | DDR3 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
112
20.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
254
4.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (Q)
|
99% |
162
2.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
1126
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
387
0.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
353
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
216
17.1 IPS |
|
|
Object Detection (Q)
|
92% |
133
10.6 IPS |
|
|
Face Detection (SP)
|
100% |
538
6.40 IPS |
|
|
Face Detection (HP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
670
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
607
4.68 IPS |
|
|
Depth Estimation (Q)
|
85% |
410
3.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1525
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (Q)
|
96% |
1114
1.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
216
7.97 IPS |
|
|
Text Classification (SP)
|
100% |
327
436.4 IPS |
|
|
Text Classification (HP)
|
100% |
298
398.2 IPS |
|
|
Text Classification (Q)
|
93% |
298
399.8 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
98% |
337
5.82 IPS |
