iMac (24-inch Mid 2021)
Geekbench AI Score
2844
Single Precision Score
4311
Half Precision Score
3587
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | gmacaya |
| Upload Date | September 08 2024 02:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1320
245.5 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.6 IPS |
|
|
Image Classification (Q)
|
99% |
1693
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1178
19.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1171
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5857
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13544
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11563
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1391
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
1950
155.2 IPS |
|
|
Object Detection (Q)
|
94% |
1526
121.6 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4010
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2618
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5220
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8156
63.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
4035
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15711
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24787
31.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24778
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3383
124.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3379
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3650
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3089
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
