Mac16,12
Geekbench AI Score
4804
Single Precision Score
7880
Half Precision Score
6346
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 23 2025 08:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2086
387.9 IPS |
|
|
Image Classification (HP)
|
100% |
3349
622.7 IPS |
|
|
Image Classification (Q)
|
96% |
2315
432.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3186
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9962
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19481
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16662
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
97% |
3773
300.4 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4131
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
7341
87.2 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14575
112.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10201
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21501
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38414
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31601
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5042
186.2 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5549
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7222
124.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7205
124.5 IPS |
