Mac16,12
Geekbench AI Score
4697
Single Precision Score
37867
Half Precision Score
53688
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Toda |
| Upload Date | September 08 2025 10:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2006
373.0 IPS |
|
|
Image Classification (HP)
|
100% |
18894
3.51 KIPS |
|
|
Image Classification (Q)
|
97% |
28761
5.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21966
356.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30851
500.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9677
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123241
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231163
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
19081
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26952
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
44280
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
59814
710.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8454
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100729
776.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
172802
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
20676
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
235020
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300001
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51713
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91300
3.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3039
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6986
9.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7021
9.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16404
282.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18109
312.9 IPS |
