Mac15,13
Geekbench AI Score
8552
Single Precision Score
10268
Half Precision Score
9684
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | cody22 |
| Upload Date | December 05 2025 10:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4403
818.9 IPS |
|
|
Image Classification (HP)
|
100% |
4772
887.4 IPS |
|
|
Image Classification (Q)
|
96% |
4264
796.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6506
105.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7053
114.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6772
109.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
23842
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26684
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26102
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
4416
350.3 IPS |
|
|
Object Detection (HP)
|
100% |
4879
387.0 IPS |
|
|
Object Detection (Q)
|
92% |
4498
359.0 IPS |
|
|
Face Detection (SP)
|
100% |
11787
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
15449
183.6 IPS |
|
|
Face Detection (Q)
|
100% |
12447
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18611
143.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20256
156.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
18583
145.1 IPS |
|
|
Style Transfer (SP)
|
100% |
50526
65.0 IPS |
|
|
Style Transfer (HP)
|
100% |
60324
77.5 IPS |
|
|
Style Transfer (Q)
|
96% |
58336
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10621
392.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10857
400.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9394
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5570
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1841
31.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2584
44.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3031
52.4 IPS |
