Mac15,12
Geekbench AI Score
8920
Single Precision Score
10032
Half Precision Score
9993
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | chonaso |
| Upload Date | March 13 2026 02:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4694
873.0 IPS |
|
|
Image Classification (HP)
|
100% |
4899
911.0 IPS |
|
|
Image Classification (Q)
|
96% |
4627
864.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6634
107.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7102
115.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6933
112.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23820
27.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26693
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26080
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (HP)
|
100% |
4967
394.0 IPS |
|
|
Object Detection (Q)
|
91% |
4833
386.3 IPS |
|
|
Face Detection (SP)
|
100% |
12199
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
15794
187.7 IPS |
|
|
Face Detection (Q)
|
100% |
15187
180.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18553
142.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20340
156.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
19410
151.9 IPS |
|
|
Style Transfer (SP)
|
100% |
50196
64.5 IPS |
|
|
Style Transfer (HP)
|
100% |
60703
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58384
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10562
390.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10820
399.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9366
345.8 IPS |
|
|
Text Classification (SP)
|
100% |
3234
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5619
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2733
47.2 IPS |
