iMac (27-inch Retina Early 2019)
Geekbench AI Score
1017
Single Precision Score
126
Half Precision Score
101
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | September 17 2025 04:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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 | 48.00 GB |
| Transfer Rate | 2400 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
533
99.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
526
8.53 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
897
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
833
0.98 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1157
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
949
11.3 IPS |
|
|
Face Detection (Q)
|
100% |
389
4.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1576
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1240
9.55 IPS |
|
|
Depth Estimation (Q)
|
85% |
839
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
4227
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3793
4.88 IPS |
|
|
Style Transfer (Q)
|
96% |
2823
3.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
771
28.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
459
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
513
684.3 IPS |
|
|
Text Classification (HP)
|
100% |
514
686.4 IPS |
|
|
Text Classification (Q)
|
93% |
522
700.5 IPS |
|
|
Machine Translation (SP)
|
100% |
390
6.73 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
645
11.1 IPS |
