iMac (24-inch, 2023)
Geekbench AI Score
3997
Single Precision Score
6830
Half Precision Score
5511
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | forcetrainer |
| Upload Date | January 15 2025 02:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 4.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1490
277.1 IPS |
|
|
Image Classification (HP)
|
100% |
2866
532.9 IPS |
|
|
Image Classification (Q)
|
96% |
1990
371.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1834
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2898
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3241
52.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8286
9.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
17097
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14711
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.2 IPS |
|
|
Object Detection (HP)
|
97% |
3185
253.6 IPS |
|
|
Object Detection (Q)
|
94% |
2302
183.5 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6388
75.9 IPS |
|
|
Face Detection (Q)
|
100% |
3764
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6958
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13375
103.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9215
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21714
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33430
43.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27827
35.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5155
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4376
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2875
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4934
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3427
59.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5658
97.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5687
98.3 IPS |
