Mac16,12
Geekbench AI Score
4794
Single Precision Score
38613
Half Precision Score
54840
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 01 2025 09:49 AM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.4 IPS |
|
|
Image Classification (HP)
|
100% |
19276
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
29448
5.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21852
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30421
493.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9872
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123152
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232775
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2395
190.0 IPS |
|
|
Object Detection (HP)
|
100% |
19132
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
27204
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4153
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
44709
531.2 IPS |
|
|
Face Detection (Q)
|
100% |
64842
770.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100965
777.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173451
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
21387
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
235864
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
301319
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6144
226.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51585
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
92797
3.43 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
7867
10.5 KIPS |
|
|
Text Classification (Q)
|
93% |
7268
9.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4392
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17185
296.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18975
327.9 IPS |
