Mac15,12
Geekbench AI Score
9611
Single Precision Score
11257
Half Precision Score
9590
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Jzwift |
| Upload Date | March 27 2026 03:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (a) (Build 25D771280a) |
| 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 | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4684
871.0 IPS |
|
|
Image Classification (HP)
|
100% |
4974
924.9 IPS |
|
|
Image Classification (Q)
|
96% |
4608
860.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
6690
108.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7241
117.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6913
112.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23886
27.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26727
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26083
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
4528
359.2 IPS |
|
|
Object Detection (HP)
|
100% |
4932
391.2 IPS |
|
|
Object Detection (Q)
|
91% |
4815
384.8 IPS |
|
|
Face Detection (SP)
|
100% |
12007
142.7 IPS |
|
|
Face Detection (HP)
|
100% |
16334
194.1 IPS |
|
|
Face Detection (Q)
|
100% |
15175
180.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18592
143.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
20391
157.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19343
151.4 IPS |
|
|
Style Transfer (SP)
|
100% |
50388
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
60703
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58171
75.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10600
391.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10842
400.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9396
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5582
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5075
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5629
97.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1830
31.6 IPS |
