Mac16,12
Geekbench AI Score
6639
Single Precision Score
8727
Half Precision Score
7630
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | September 03 2025 09:37 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3537
657.7 IPS |
|
|
Image Classification (HP)
|
100% |
4692
872.6 IPS |
|
|
Image Classification (Q)
|
96% |
3115
581.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6997
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7732
125.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7652
124.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13383
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18524
21.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
16446
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
3405
270.1 IPS |
|
|
Object Detection (HP)
|
100% |
3678
291.7 IPS |
|
|
Object Detection (Q)
|
92% |
3407
271.9 IPS |
|
|
Face Detection (SP)
|
100% |
10305
122.4 IPS |
|
|
Face Detection (HP)
|
100% |
13567
161.2 IPS |
|
|
Face Detection (Q)
|
100% |
10268
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15063
116.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18341
141.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
16085
125.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33043
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
52314
67.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45294
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9476
349.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11075
409.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9505
351.0 IPS |
|
|
Text Classification (SP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (HP)
|
99% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3079
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2328
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2290
39.6 IPS |
