Mac15,13
Geekbench AI Score
3901
Single Precision Score
29190
Half Precision Score
33191
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | January 01 2025 06:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
1570
292.0 IPS |
|
|
Image Classification (HP)
|
100% |
16162
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
19788
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18444
299.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25043
406.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7996
9.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
114761
133.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
111349
130.5 IPS |
|
|
Object Detection (SP)
|
100% |
1493
118.4 IPS |
|
|
Object Detection (HP)
|
100% |
17739
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20575
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
35973
427.4 IPS |
|
|
Face Detection (Q)
|
100% |
44571
529.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6890
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95209
733.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
120815
944.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22036
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
225397
289.8 IPS |
|
|
Style Transfer (Q)
|
96% |
220233
284.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44985
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54961
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5074
6.77 KIPS |
|
|
Text Classification (Q)
|
93% |
4986
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3144
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4201
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4398
76.0 IPS |
