iMac (27-inch Retina Early 2019)
Geekbench AI Score
559
Single Precision Score
389
Half Precision Score
278
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | j4lber |
| Upload Date | December 30 2024 10:29 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.0 IPS |
|
|
Image Classification (Q)
|
96% |
81
15.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
228
3.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.78 IPS |
|
|
Image Segmentation (Q)
|
99% |
127
2.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1255
1.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
378
0.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
378
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.1 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
92% |
145
11.6 IPS |
|
|
Face Detection (SP)
|
100% |
781
9.28 IPS |
|
|
Face Detection (HP)
|
100% |
586
6.97 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.87 IPS |
|
|
Depth Estimation (SP)
|
100% |
1003
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
700
5.39 IPS |
|
|
Depth Estimation (Q)
|
85% |
446
3.49 IPS |
|
|
Style Transfer (SP)
|
100% |
2244
2.88 IPS |
|
|
Style Transfer (HP)
|
100% |
1630
2.10 IPS |
|
|
Style Transfer (Q)
|
96% |
1298
1.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
251
9.28 IPS |
|
|
Text Classification (SP)
|
100% |
304
405.7 IPS |
|
|
Text Classification (HP)
|
100% |
332
443.5 IPS |
|
|
Text Classification (Q)
|
93% |
350
469.7 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (Q)
|
98% |
399
6.90 IPS |
