Mac15,12
Geekbench AI Score
9593
Single Precision Score
11206
Half Precision Score
9578
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alexeft |
| Upload Date | March 16 2026 06:26 PM |
| Views | 8 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4704
874.9 IPS |
|
|
Image Classification (HP)
|
100% |
4911
913.2 IPS |
|
|
Image Classification (Q)
|
96% |
4611
861.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6629
107.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7118
115.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6946
112.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
23691
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26621
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26012
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4500
356.9 IPS |
|
|
Object Detection (HP)
|
100% |
4922
390.4 IPS |
|
|
Object Detection (Q)
|
91% |
4809
384.3 IPS |
|
|
Face Detection (SP)
|
100% |
12110
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
16304
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
15117
179.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18218
140.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20348
156.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
19266
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
51917
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
60649
78.0 IPS |
|
|
Style Transfer (Q)
|
96% |
58274
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10559
389.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10812
399.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9358
345.5 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5784
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5042
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5555
95.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1766
30.5 IPS |
