iMac (27-inch Retina Early 2019)
Geekbench AI Score
530
Single Precision Score
432
Half Precision Score
349
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | crishifi |
| Upload Date | August 18 2024 03:54 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| 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 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 | 128.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
342
63.5 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.3 IPS |
|
|
Image Classification (Q)
|
99% |
241
45.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
319
5.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
205
3.32 IPS |
|
|
Image Segmentation (Q)
|
100% |
187
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (Q)
|
95% |
1010
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
92% |
122
9.76 IPS |
|
|
Face Detection (SP)
|
100% |
504
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (Q)
|
100% |
195
2.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
930
7.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
757
5.83 IPS |
|
|
Depth Estimation (Q)
|
97% |
768
5.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2444
3.14 IPS |
|
|
Style Transfer (HP)
|
100% |
2098
2.70 IPS |
|
|
Style Transfer (Q)
|
100% |
2027
2.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
919
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
492
18.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
254
9.40 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.8 IPS |
|
|
Text Classification (HP)
|
100% |
186
248.0 IPS |
|
|
Text Classification (Q)
|
93% |
201
270.3 IPS |
|
|
Machine Translation (SP)
|
100% |
184
3.18 IPS |
|
|
Machine Translation (HP)
|
100% |
326
5.62 IPS |
|
|
Machine Translation (Q)
|
98% |
319
5.52 IPS |
