Mac15,13
Geekbench AI Score
4020
Single Precision Score
30469
Half Precision Score
33910
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 25 2025 05:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
1554
289.1 IPS |
|
|
Image Classification (HP)
|
100% |
15946
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
18986
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1850
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21728
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24227
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8468
9.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
121852
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120013
140.7 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
17963
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20274
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
39232
466.2 IPS |
|
|
Face Detection (Q)
|
100% |
51690
614.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6959
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98821
761.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
120453
941.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22125
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
225613
290.0 IPS |
|
|
Style Transfer (Q)
|
96% |
217222
280.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45988
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55019
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5054
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5033
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4797
82.9 IPS |
