iMac (27-inch Retina Early 2019)
Geekbench AI Score
788
Single Precision Score
656
Half Precision Score
470
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | September 19 2024 10:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 80.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
433
80.5 IPS |
|
|
Image Classification (HP)
|
100% |
321
59.6 IPS |
|
|
Image Classification (Q)
|
96% |
181
33.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
240
3.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
2242
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1639
1.92 IPS |
|
|
Object Detection (SP)
|
100% |
415
32.9 IPS |
|
|
Object Detection (HP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (Q)
|
92% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
671
7.98 IPS |
|
|
Face Detection (HP)
|
100% |
575
6.83 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
1286
9.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
1025
7.89 IPS |
|
|
Depth Estimation (Q)
|
86% |
667
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
3363
4.32 IPS |
|
|
Style Transfer (HP)
|
100% |
3399
4.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2606
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
395
14.6 IPS |
|
|
Text Classification (SP)
|
100% |
496
662.6 IPS |
|
|
Text Classification (HP)
|
100% |
479
639.9 IPS |
|
|
Text Classification (Q)
|
93% |
480
644.0 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.59 IPS |
