iMac19,2
Geekbench AI Score
976
Single Precision Score
117
Half Precision Score
95
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | September 05 2025 02:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i5-9600K |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | iMac19,2 |
| Model ID | iMac19,2 |
| Motherboard | Acidanthera Mac-63001698E7A34814 iMac19,2 |
| 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 | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
518
8.39 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2978
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
738
0.86 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (Q)
|
100% |
362
4.30 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1176
9.06 IPS |
|
|
Depth Estimation (Q)
|
85% |
746
5.83 IPS |
|
|
Style Transfer (SP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2694
3.46 IPS |
|
|
Style Transfer (Q)
|
96% |
2378
3.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1685
62.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
669
24.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
409
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
492
657.3 IPS |
|
|
Text Classification (HP)
|
100% |
494
659.3 IPS |
|
|
Text Classification (Q)
|
93% |
489
656.0 IPS |
|
|
Machine Translation (SP)
|
100% |
414
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
664
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
661
11.4 IPS |
