Mac16,12
Geekbench AI Score
9138
Single Precision Score
10662
Half Precision Score
9972
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | natrat |
| Upload Date | July 20 2025 04:27 AM |
| Views | 5 |
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 | 4.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4537
843.7 IPS |
|
|
Image Classification (HP)
|
100% |
4953
921.1 IPS |
|
|
Image Classification (Q)
|
96% |
4668
871.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7159
116.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7857
127.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7650
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
27792
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29837
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
29475
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4655
369.2 IPS |
|
|
Object Detection (HP)
|
100% |
5310
421.2 IPS |
|
|
Object Detection (Q)
|
92% |
4839
386.2 IPS |
|
|
Face Detection (SP)
|
100% |
11902
141.4 IPS |
|
|
Face Detection (HP)
|
100% |
16303
193.7 IPS |
|
|
Face Detection (Q)
|
100% |
12808
152.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
20663
159.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22362
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20528
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
55742
71.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66072
84.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64132
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12104
446.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12337
455.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10770
397.7 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1881
32.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1926
33.3 IPS |
