Mac16,12
Geekbench AI Score
8103
Single Precision Score
9172
Half Precision Score
9248
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 07:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
4111
764.5 IPS |
|
|
Image Classification (HP)
|
100% |
4285
796.9 IPS |
|
|
Image Classification (Q)
|
96% |
4013
749.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6262
101.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6567
106.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6350
102.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22812
26.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24051
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23859
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
4268
338.5 IPS |
|
|
Object Detection (HP)
|
100% |
4750
376.7 IPS |
|
|
Object Detection (Q)
|
92% |
4299
343.1 IPS |
|
|
Face Detection (SP)
|
100% |
11811
140.3 IPS |
|
|
Face Detection (HP)
|
100% |
14457
171.8 IPS |
|
|
Face Detection (Q)
|
100% |
11665
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18803
144.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
19889
153.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
18521
144.7 IPS |
|
|
Style Transfer (SP)
|
100% |
49993
64.3 IPS |
|
|
Style Transfer (HP)
|
100% |
55146
70.9 IPS |
|
|
Style Transfer (Q)
|
96% |
54003
69.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9811
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10091
372.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8781
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5428
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1498
25.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3151
54.4 IPS |
