iMac (27-inch Retina Early 2019)
Geekbench AI Score
3458
Single Precision Score
3607
Half Precision Score
444
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | September 07 2024 11:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX Vega 56 |
| 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 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2671
496.7 IPS |
|
|
Image Classification (HP)
|
100% |
2796
520.0 IPS |
|
|
Image Classification (Q)
|
96% |
149
27.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.65 IPS |
|
|
Image Segmentation (Q)
|
99% |
241
3.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
17404
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17196
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
2552
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
2192
173.8 IPS |
|
|
Object Detection (HP)
|
100% |
2286
181.4 IPS |
|
|
Object Detection (Q)
|
92% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
7163
85.1 IPS |
|
|
Face Detection (HP)
|
100% |
7872
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
14241
109.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15751
121.4 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
57706
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
63068
81.1 IPS |
|
|
Style Transfer (Q)
|
96% |
82625
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7232
267.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9084
335.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9033
333.6 IPS |
|
|
Text Classification (SP)
|
100% |
385
514.2 IPS |
|
|
Text Classification (HP)
|
100% |
390
520.2 IPS |
|
|
Text Classification (Q)
|
93% |
347
466.2 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
299
5.15 IPS |
|
|
Machine Translation (Q)
|
98% |
298
5.15 IPS |
