iMac (27-inch Retina Early 2019)
Geekbench AI Score
3244
Single Precision Score
3345
Half Precision Score
966
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | macaddict10 |
| Upload Date | September 25 2025 06:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro 580X |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G309) |
| 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 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (HP)
|
100% |
2854
530.8 IPS |
|
|
Image Classification (Q)
|
96% |
125
23.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
435
7.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
17559
20.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18985
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2458
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (Q)
|
92% |
99
7.92 IPS |
|
|
Face Detection (SP)
|
100% |
7904
93.9 IPS |
|
|
Face Detection (HP)
|
100% |
7339
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
233
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
10291
79.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10737
82.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10098
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
31788
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35277
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
43099
55.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6085
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6101
225.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6032
222.7 IPS |
|
|
Text Classification (SP)
|
100% |
446
595.6 IPS |
|
|
Text Classification (HP)
|
100% |
518
691.1 IPS |
|
|
Text Classification (Q)
|
93% |
475
637.0 IPS |
|
|
Machine Translation (SP)
|
100% |
400
6.88 IPS |
|
|
Machine Translation (HP)
|
100% |
370
6.37 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.35 IPS |
