iMac (24-inch, 2023)
Geekbench AI Score
3729
Single Precision Score
5397
Half Precision Score
4434
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ronfree |
| Upload Date | August 27 2024 12:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac (24-inch, 2023) |
| Model ID | Mac15,5 |
| Motherboard | Mac15,5 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.4 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.6 IPS |
|
|
Image Classification (Q)
|
99% |
2197
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1430
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8029
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
16623
19.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14354
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
97% |
2508
199.6 IPS |
|
|
Object Detection (Q)
|
94% |
1929
153.8 IPS |
|
|
Face Detection (SP)
|
100% |
2929
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
3137
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6519
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9547
73.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4539
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20573
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31421
40.4 IPS |
|
|
Style Transfer (Q)
|
100% |
30703
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4636
171.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4010
148.6 IPS |
|
|
Text Classification (SP)
|
100% |
2881
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
4717
6.30 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2884
49.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4095
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4100
70.9 IPS |
