Mac15,12
Geekbench AI Score
8488
Single Precision Score
10464
Half Precision Score
9121
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sampo81 |
| Upload Date | May 18 2025 07:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4315
802.4 IPS |
|
|
Image Classification (HP)
|
100% |
4686
871.5 IPS |
|
|
Image Classification (Q)
|
96% |
4384
818.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6472
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6981
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6717
108.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25041
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26241
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25969
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4400
349.0 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
92% |
4477
357.3 IPS |
|
|
Face Detection (SP)
|
100% |
11870
141.0 IPS |
|
|
Face Detection (HP)
|
100% |
15286
181.6 IPS |
|
|
Face Detection (Q)
|
100% |
12209
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19063
146.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20212
155.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18668
145.8 IPS |
|
|
Style Transfer (SP)
|
100% |
51282
65.9 IPS |
|
|
Style Transfer (HP)
|
100% |
59810
76.9 IPS |
|
|
Style Transfer (Q)
|
96% |
58079
75.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10985
405.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10930
403.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9563
353.1 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5287
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1670
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3457
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1741
30.1 IPS |
