iMac (24-inch, 2023)
Geekbench AI Score
7743
Single Precision Score
9422
Half Precision Score
8300
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | masm66 |
| Upload Date | December 10 2024 06:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4044
752.0 IPS |
|
|
Image Classification (HP)
|
100% |
4543
844.9 IPS |
|
|
Image Classification (Q)
|
97% |
3878
723.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4025
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5777
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6408
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
23598
27.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
25509
29.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
24333
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
4186
332.1 IPS |
|
|
Object Detection (HP)
|
100% |
4702
373.0 IPS |
|
|
Object Detection (Q)
|
91% |
3984
318.4 IPS |
|
|
Face Detection (SP)
|
100% |
11219
133.3 IPS |
|
|
Face Detection (HP)
|
100% |
14372
170.8 IPS |
|
|
Face Detection (Q)
|
100% |
10392
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17233
132.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19776
152.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
16763
131.0 IPS |
|
|
Style Transfer (SP)
|
100% |
48110
61.8 IPS |
|
|
Style Transfer (HP)
|
100% |
57714
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53914
69.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10508
388.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11480
423.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9192
339.4 IPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5195
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1791
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1449
25.0 IPS |
