Mac15,13
Geekbench AI Score
4101
Single Precision Score
7032
Half Precision Score
5682
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rismay |
| Upload Date | June 25 2025 05:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1581
294.0 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2067
386.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3222
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17496
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3203
255.0 IPS |
|
|
Object Detection (Q)
|
94% |
2330
185.7 IPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6842
81.3 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7029
54.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12725
98.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8983
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22391
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34463
44.3 IPS |
|
|
Style Transfer (Q)
|
96% |
28577
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4461
164.7 IPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
99% |
5057
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4999
6.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3297
56.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6545
113.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6572
113.6 IPS |
