Mac15,12
Geekbench AI Score
3979
Single Precision Score
30509
Half Precision Score
34273
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | alexeft |
| Upload Date | March 16 2026 06:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1491
277.2 IPS |
|
|
Image Classification (HP)
|
100% |
16571
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
19397
3.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22248
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27403
444.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8342
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
121522
141.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
120570
141.3 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
17733
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20908
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3396
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
39834
473.3 IPS |
|
|
Face Detection (Q)
|
100% |
51644
613.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6915
53.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97924
754.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
124251
971.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21845
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
227553
292.5 IPS |
|
|
Style Transfer (Q)
|
96% |
220162
284.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4967
183.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49144
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57006
2.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3221
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5588
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5568
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3163
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3609
62.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3722
64.3 IPS |
