Mac16,12
Geekbench AI Score
8920
Single Precision Score
10392
Half Precision Score
10555
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 16 2025 07:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.34 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4492
835.3 IPS |
|
|
Image Classification (HP)
|
100% |
4901
911.5 IPS |
|
|
Image Classification (Q)
|
96% |
4591
857.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7121
115.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7880
127.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7609
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27522
32.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29804
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29493
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4606
365.3 IPS |
|
|
Object Detection (HP)
|
100% |
5192
411.8 IPS |
|
|
Object Detection (Q)
|
92% |
4722
377.0 IPS |
|
|
Face Detection (SP)
|
100% |
12584
149.5 IPS |
|
|
Face Detection (HP)
|
100% |
15986
190.0 IPS |
|
|
Face Detection (Q)
|
100% |
13189
156.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20259
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
21891
168.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
20716
161.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56143
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
65704
84.5 IPS |
|
|
Style Transfer (Q)
|
96% |
63874
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11769
434.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11671
431.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10430
385.1 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5520
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5494
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3531
61.0 IPS |
