Mac16,12
Geekbench AI Score
4797
Single Precision Score
7889
Half Precision Score
6351
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ameer_hamza |
| Upload Date | July 23 2025 06:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2297
429.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3099
50.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3561
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9994
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19485
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16662
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3779
300.8 IPS |
|
|
Object Detection (Q)
|
94% |
2685
214.0 IPS |
|
|
Face Detection (SP)
|
100% |
4164
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
7476
88.8 IPS |
|
|
Face Detection (Q)
|
100% |
4351
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14576
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10165
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21661
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38515
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31642
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6133
226.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7278
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5087
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
4388
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7153
123.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7368
127.3 IPS |
