Mac15,12
Geekbench AI Score
9124
Single Precision Score
10695
Half Precision Score
9886
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ThatsTeo_ |
| Upload Date | August 14 2025 03:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5327h) |
| 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 | 3.78 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
4620
859.1 IPS |
|
|
Image Classification (Q)
|
96% |
4181
780.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6396
103.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6972
113.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6740
109.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23699
27.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26617
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
26011
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
4274
339.0 IPS |
|
|
Object Detection (HP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (Q)
|
92% |
4434
354.0 IPS |
|
|
Face Detection (SP)
|
100% |
11533
137.0 IPS |
|
|
Face Detection (HP)
|
100% |
15291
181.7 IPS |
|
|
Face Detection (Q)
|
100% |
12217
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18316
141.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20095
154.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
18498
144.5 IPS |
|
|
Style Transfer (SP)
|
100% |
50081
64.4 IPS |
|
|
Style Transfer (HP)
|
100% |
59948
77.1 IPS |
|
|
Style Transfer (Q)
|
96% |
57966
74.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10493
387.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10659
393.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9255
341.7 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5398
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4189
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4196
72.5 IPS |
