Mac15,13
Geekbench AI Score
8773
Single Precision Score
9967
Half Precision Score
9244
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4331
805.3 IPS |
|
|
Image Classification (HP)
|
100% |
4712
876.3 IPS |
|
|
Image Classification (Q)
|
96% |
4326
807.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6476
105.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7012
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6732
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25168
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
26562
31.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
25938
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (Q)
|
92% |
4473
357.0 IPS |
|
|
Face Detection (SP)
|
100% |
11850
140.8 IPS |
|
|
Face Detection (HP)
|
100% |
15310
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
12333
146.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19066
146.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20769
160.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
19089
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51194
65.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60772
78.1 IPS |
|
|
Style Transfer (Q)
|
96% |
58648
75.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11038
407.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11995
442.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10311
380.7 IPS |
|
|
Text Classification (SP)
|
100% |
3020
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5392
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5422
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1789
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1748
30.2 IPS |
