Mac15,13
Geekbench AI Score
8790
Single Precision Score
9805
Half Precision Score
9138
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kangyc |
| Upload Date | September 01 2025 03:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4319
803.3 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.0 IPS |
|
|
Image Classification (Q)
|
96% |
4343
811.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6518
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6985
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
6714
108.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
25145
29.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
26232
30.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
25965
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4388
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
4925
390.7 IPS |
|
|
Object Detection (Q)
|
92% |
4453
355.4 IPS |
|
|
Face Detection (SP)
|
100% |
11783
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
15360
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
12287
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18851
145.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20205
155.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
18623
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51595
66.3 IPS |
|
|
Style Transfer (HP)
|
100% |
59760
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58074
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10987
405.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10866
401.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9550
352.6 IPS |
|
|
Text Classification (SP)
|
100% |
3034
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5415
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5403
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1758
30.4 IPS |
