Mac16,12
Geekbench AI Score
8901
Single Precision Score
10269
Half Precision Score
9735
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gmion |
| Upload Date | October 13 2025 02:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4377
814.0 IPS |
|
|
Image Classification (HP)
|
100% |
4731
879.9 IPS |
|
|
Image Classification (Q)
|
96% |
4465
833.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7628
123.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7553
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
27761
32.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
29703
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29404
34.4 IPS |
|
|
Object Detection (SP)
|
100% |
4553
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (Q)
|
92% |
4758
379.8 IPS |
|
|
Face Detection (SP)
|
100% |
12681
150.7 IPS |
|
|
Face Detection (HP)
|
100% |
15689
186.4 IPS |
|
|
Face Detection (Q)
|
100% |
13414
159.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20362
156.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
21868
168.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
19975
156.0 IPS |
|
|
Style Transfer (SP)
|
100% |
57294
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
66291
85.2 IPS |
|
|
Style Transfer (Q)
|
96% |
64569
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12001
443.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11426
421.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10291
380.0 IPS |
|
|
Text Classification (SP)
|
100% |
3022
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5639
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1477
25.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1615
27.9 IPS |
