Mac15,13
Geekbench AI Score
4061
Single Precision Score
31191
Half Precision Score
34918
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 07:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (HP)
|
100% |
17707
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20564
3.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21138
342.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26653
432.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8738
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
121482
141.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
121640
142.6 IPS |
|
|
Object Detection (SP)
|
100% |
1800
142.8 IPS |
|
|
Object Detection (HP)
|
100% |
18803
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
20884
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
38995
463.3 IPS |
|
|
Face Detection (Q)
|
100% |
46812
556.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7119
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98336
757.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124244
971.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22350
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
229677
295.3 IPS |
|
|
Style Transfer (Q)
|
96% |
222270
286.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5038
186.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46732
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58905
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3029
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5413
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3229
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4576
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4703
81.3 IPS |
