Mac16,12
Geekbench AI Score
8875
Single Precision Score
10290
Half Precision Score
9695
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 13 2025 02:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| Model | Mac16,12 |
| Model ID | Mac16,12 |
| Motherboard | Mac16,12 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4359
810.7 IPS |
|
|
Image Classification (HP)
|
100% |
4764
886.0 IPS |
|
|
Image Classification (Q)
|
96% |
4508
841.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7135
115.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7651
124.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7574
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
27688
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29672
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
29395
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4531
359.4 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4739
378.3 IPS |
|
|
Face Detection (SP)
|
100% |
12589
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
15962
189.7 IPS |
|
|
Face Detection (Q)
|
100% |
13160
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20256
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21747
167.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
20005
156.3 IPS |
|
|
Style Transfer (SP)
|
100% |
56992
73.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65943
84.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64416
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11745
433.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11628
429.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10292
380.1 IPS |
|
|
Text Classification (SP)
|
100% |
3086
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5540
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5447
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1476
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1624
28.1 IPS |
