Mac16,12
Geekbench AI Score
7391
Single Precision Score
9043
Half Precision Score
8272
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 09:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3570
663.9 IPS |
|
|
Image Classification (HP)
|
100% |
3728
693.3 IPS |
|
|
Image Classification (Q)
|
96% |
3496
652.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5638
91.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6104
99.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5876
95.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20247
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
23171
27.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
22413
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
3838
304.4 IPS |
|
|
Object Detection (HP)
|
100% |
4195
332.7 IPS |
|
|
Object Detection (Q)
|
92% |
3885
310.1 IPS |
|
|
Face Detection (SP)
|
100% |
10366
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
13172
156.5 IPS |
|
|
Face Detection (Q)
|
100% |
10637
126.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16639
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18466
142.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17100
133.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44275
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
50987
65.5 IPS |
|
|
Style Transfer (Q)
|
96% |
49389
63.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8626
318.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8983
331.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7878
290.9 IPS |
|
|
Text Classification (SP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
5805
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5737
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2557
44.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2066
35.7 IPS |
