Mac16,12
Geekbench AI Score
9090
Single Precision Score
10532
Half Precision Score
9760
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:57 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 4.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4531
842.7 IPS |
|
|
Image Classification (HP)
|
100% |
4870
905.7 IPS |
|
|
Image Classification (Q)
|
96% |
4550
849.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7022
113.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7682
124.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7674
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27656
32.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29077
33.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
29411
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4581
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
5353
424.6 IPS |
|
|
Object Detection (Q)
|
92% |
4760
380.0 IPS |
|
|
Face Detection (SP)
|
100% |
12205
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
15580
185.1 IPS |
|
|
Face Detection (Q)
|
100% |
12971
154.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20497
157.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22068
170.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
20334
158.8 IPS |
|
|
Style Transfer (SP)
|
100% |
53298
68.5 IPS |
|
|
Style Transfer (HP)
|
100% |
65649
84.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63795
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11727
433.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11864
438.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10439
385.5 IPS |
|
|
Text Classification (SP)
|
100% |
3041
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5477
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2010
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1668
28.8 IPS |
