iMac (24-inch Mid 2021)
Geekbench AI Score
1682
Single Precision Score
12469
Half Precision Score
9916
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 04:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (24-inch Mid 2021) |
| Model ID | iMac21,1 |
| Motherboard | iMac21,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
976
181.5 IPS |
|
|
Image Classification (HP)
|
100% |
6467
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
5776
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
434
7.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
5555
6.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
68578
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65107
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (HP)
|
99% |
7212
573.7 IPS |
|
|
Object Detection (Q)
|
93% |
6629
529.0 IPS |
|
|
Face Detection (SP)
|
100% |
1767
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
11862
140.9 IPS |
|
|
Face Detection (Q)
|
100% |
11498
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2971
22.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
44853
345.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
51495
402.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9556
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
119227
153.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114976
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2690
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18150
670.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21482
793.2 IPS |
|
|
Text Classification (SP)
|
100% |
325
433.9 IPS |
|
|
Text Classification (HP)
|
100% |
2586
3.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2576
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1331
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2265
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2256
39.0 IPS |
