Mac15,12
Geekbench AI Score
4133
Single Precision Score
31527
Half Precision Score
34903
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | IMaT_UoA |
| Upload Date | July 16 2025 10:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
17738
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
20388
3.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1914
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22082
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26944
436.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8899
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121199
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
121057
141.9 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
18529
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
20974
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3538
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
39978
475.0 IPS |
|
|
Face Detection (Q)
|
100% |
46879
557.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7158
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99266
764.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
124447
973.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22431
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
230295
296.0 IPS |
|
|
Style Transfer (Q)
|
96% |
219816
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48531
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58027
2.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2998
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5406
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5380
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4806
83.0 IPS |
