iMac20,2
Geekbench AI Score
1080
Single Precision Score
818
Half Precision Score
548
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | ardenvohr |
| Upload Date | June 24 2025 05:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Apple Inc. Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10910 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
96% |
209
39.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2605
3.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
1085
1.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
948
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (HP)
|
100% |
439
34.9 IPS |
|
|
Object Detection (Q)
|
92% |
252
20.1 IPS |
|
|
Face Detection (SP)
|
100% |
1111
13.2 IPS |
|
|
Face Detection (HP)
|
100% |
953
11.3 IPS |
|
|
Face Detection (Q)
|
100% |
386
4.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1639
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1464
11.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
839
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
4086
5.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4207
5.41 IPS |
|
|
Style Transfer (Q)
|
96% |
3082
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
785
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
455
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
507
676.9 IPS |
|
|
Text Classification (HP)
|
100% |
521
695.2 IPS |
|
|
Text Classification (Q)
|
93% |
513
689.1 IPS |
|
|
Machine Translation (SP)
|
100% |
696
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.9 IPS |
|
|
Machine Translation (Q)
|
98% |
638
11.0 IPS |
