Mac15,13
Geekbench AI Score
8455
Single Precision Score
9910
Half Precision Score
9644
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GianPaJ |
| Upload Date | April 04 2025 05:13 PM |
| Views | 6 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4323
804.0 IPS |
|
|
Image Classification (HP)
|
100% |
4672
868.8 IPS |
|
|
Image Classification (Q)
|
96% |
4366
815.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6464
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6980
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6750
109.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
25004
29.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26417
30.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
25822
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
4919
390.2 IPS |
|
|
Object Detection (Q)
|
92% |
4466
356.5 IPS |
|
|
Face Detection (SP)
|
100% |
11635
138.2 IPS |
|
|
Face Detection (HP)
|
100% |
15309
181.9 IPS |
|
|
Face Detection (Q)
|
100% |
12144
144.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18735
144.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
20749
159.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
18968
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
51488
66.2 IPS |
|
|
Style Transfer (HP)
|
100% |
60646
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58074
74.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10977
405.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11822
436.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5410
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1755
30.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2752
47.6 IPS |
