iMac (27-inch Retina Early 2019)
Geekbench AI Score
3009
Single Precision Score
2989
Half Precision Score
387
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | KipR |
| Upload Date | September 19 2024 10:51 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| 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% |
2662
495.1 IPS |
|
|
Image Classification (HP)
|
100% |
2772
515.5 IPS |
|
|
Image Classification (Q)
|
96% |
138
25.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (Q)
|
99% |
211
3.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
19395
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17823
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
2350
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
2198
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
2275
180.4 IPS |
|
|
Object Detection (Q)
|
92% |
147
11.8 IPS |
|
|
Face Detection (SP)
|
100% |
7150
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
7792
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
233
2.77 IPS |
|
|
Depth Estimation (SP)
|
100% |
10357
79.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10672
82.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32209
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32664
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
41160
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5273
194.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4207
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6124
226.1 IPS |
|
|
Text Classification (SP)
|
100% |
303
404.4 IPS |
|
|
Text Classification (HP)
|
100% |
378
504.5 IPS |
|
|
Text Classification (Q)
|
93% |
419
562.1 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
300
5.17 IPS |
|
|
Machine Translation (Q)
|
98% |
309
5.35 IPS |
