Mac16,12
Geekbench AI Score
4816
Single Precision Score
7869
Half Precision Score
6341
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 20 2025 08:03 AM |
| Views | 2 |
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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
3300
613.7 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3133
50.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3573
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10001
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19452
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16652
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2424
192.3 IPS |
|
|
Object Detection (HP)
|
97% |
3781
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2688
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
4146
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7345
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4325
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8569
66.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14600
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10183
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21517
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38507
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31774
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3058
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5646
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4434
76.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7170
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7374
127.4 IPS |
